The AI industry is built on geographic and social inequality, research shows – VentureBeat

The arm of global inequality is long, rendering itself visible particularly in the development of AI and machine learning systems. In a recent paper, researchers at Cornell, the Universite de Montreal, the National Institute of Statistical Sciences (U.S.), and Princeton argue that this inequality in the AI industry involves a concentration of profits and raises the danger of ignoring the contexts to which AI is applied.

As AI systems become increasingly ingrained in society, they said, those responsible for developing and implementing such systems stand to profit to a large extent. And if these players are predominantly located in economic powerhouses like the U.S., China, and the E.U., a disproportionate share of economic benefit will fall inside of these regions, exacerbating the inequality.

Whether explicitly in response to this inequality or not, calls have been made for broader inclusion in the development of AI. At the same time, some have acknowledged the limitations of inclusion. For example, in an analysis of publications at two major machine learning conference venues, NeurIPS 2020 and ICML 2020, none of the top 10 countries in terms of publication index were located in Latin America, Africa, or Southeast Asia, the coauthors of this new study note. Moreover, the full lists of the top 100 universities and top 100 companies by publication index included no companies or universities based in Africa or Latin America.

This inequality manifests in part in data collection. Previous research has found that ImageNet and OpenImages, two large, publicly available image datasets, are U.S.- and Euro-centric. Models trained on these datasets perform worse on images from Global South countries. For example, images of grooms are classified with lower accuracy when they come from Ethiopia and Pakistan, compared to images of grooms from the United States. Along this vein, because of how images of words like wedding or spices are presented in distinctly different cultures, publicly available object recognition systems fail to correctly classify many of these objects when they come from the Global South.

Labels, the annotations from which AI models learn relationships in data, also bear the hallmarks of inequality. A major venue for crowdsourcing labeling work is Amazon Mechanical Turk, but an estimated less than 2% of Mechanical Turk workers come from the Global South, with the vast majority originating from the U.S. and India. Not only are the tasks monotonous and the wages low on Samasource, another crowdsourcing workload platform, workers earn around $8 a day but a number of barriers exist to participation. A computer and reliable internet connection are required, and on Amazon Mechanical Turk, U.S. bank accounts and gift cards are the only forms of payment.

As the researchers point out, ImageNet, which has been essential to recent progress in computer vision, wouldnt have been possible without the work of data labelers. But the ImageNet workers themselves made a median wage of $2 per hour, with only 4% making more than the U.S. federal minimum wage of $7.25 per hour itself a far cry from a living wage.

As [a] significant part of the data collection pipeline, data labeling is an extremely low-paying job involving rote, repetitive tasks that offer no room for upward mobility, the coauthors wrote. Individuals may not require many technical skills to label data, but they do not develop any meaningful technical skills either. The anonymity of platforms like Amazons Mechanical Turk inhibit the formation of social relationships between the labeler and the client that could otherwise have led to further educational opportunities or better remuneration. Although data is central to the AI systems of today, data labelers receive only a disproportionately tiny portion of the profits of building these systems.

The coauthors also find inequality in the AI research labs established by tech giants like Google, Microsoft, Facebook, and others. Despite these centers presence throughout South and Latin America, they tend to be concentrated in certain countries, especially India, Brazil, Ghana, and Kenya. And the positions there often require technical expertise which the local population might not have, as illustrated by AI researchers and practitioners tendency to work and study in places outside of their home countries. The coauthors cite a recent report from Georgetown Universitys Center for Security and Emerging Technologies that found that while 42 of the 62 major AI labs are located outside of the U.S., 68% of the staff are located within the United States.

Even with long-term investment into regions in the Global South, the question remains of whether local residents are provided opportunities to join management and contribute to important strategic decisions, the coauthors wrote. True inclusion necessitates that underrepresented voices can be found in all ranks of a companys hierarchy, including in positions of upper management. Tech companies which are establishing a footprint in these regions are uniquely positioned to offer this opportunity to natives of the region.

The coauthors are encouraged by the efforts of organizations like Khipuand Black in AI, which have identified students, researchers, and practitioners in the field of AI and made improvements in increasing the number of Latin American and Black scholars attending and publishing at premiere AI conferences. Other communities based on the African continent, like Data Science Africa, Masakhane, and Deep Learning Indaba, have expanded their efforts with conferences, workshops, and dissertation awards and developed curricula for the wider African AI community.

But this being the case, the coauthors say a key component of future inclusion efforts should be to elevate the involvement and participation of those historically excluded from AI development. Currently, they argue, data labelers are often wholly detached from the rest of the machine learning pipeline, with workers oftentimes not knowing how their labor will be used nor for what purpose. The coauthors say these workers should be provided with education opportunities that allow them to contribute to the models they are building in ways beyond labeling.

Little sense of fulfillment comes from menial tasks [like labeling], and by exploiting these workers solely for their produced knowledge without bringing them into the fold of the product that they are helping to create, a deep chasm exists between workers and the downstream product, the coauthors wrote. Similarly, where participation in the form of model development is the norm, employers should seek to involve local residents in the ranks of management and in the process of strategic decision-making.

While acknowledging that it isnt an easy task, the coauthors suggest embracing AI development as a path forward for economic development. Rather than relying upon foreign spearheading of AI systems for domestic application, where returns from these systems often arent reinvested domestically, they encourage countries to create domestic AI development activity focused on high-productivity activities like model development, deployment, and research.

As the development of AI continues to progress across the world, the exclusion of those from communities most likely to bear the brunt of algorithmic inequity only stands to worsen, the coauthors wrote. We hope the actions we propose can help to begin the movement of communities in the Global South from being just beneficiaries or subjects of AI systems to being active, engaged participants. Having true agency over the AI systems integrated into the livelihoods of communities in the Global South will maximize the impact of these systems and lead the way for global inclusion of AI.

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The AI industry is built on geographic and social inequality, research shows - VentureBeat

She was named one of the 100 most brilliant women in AI ethics – News@Northeastern

Computer science professor Tina Eliassi-Rad says shes proud to be named on an industry list of 100 Brilliant Women in AI Ethics, which identifies her as one of the top thinkers in the male-dominated field of artificial intelligence. But shes even prouder of what the carefully-curated list represents.

Part of the issue in a field such as computer science is that women and other under-represented minorities arent always seen. Initiatives like this one show that there are a lot of women who are qualified to do this work, says Eliassi-Rad.

Mia Shah-Dand, the CEO of the Oakland, California-based research firm Lighthouse3, created the annual list in 2018. Shah-Dand says she wanted to provide a rebuttal to technology leaders who complained that they couldnt find accomplished, diverse women to hire.

I was a little frustrated with all the times I would hear, There just arent enough qualified women, says Shah-Dand. Its the same old excuse. Well, we have an entire directory of qualified women now. There is no excuse. At this point in 2021, if you have only men on your staff, its intentional.

According to recent research by the World Economic Forum, women hold only 26% of data and artificial intelligence jobs across the globe, and even fewer have senior roles.

Shah-Dand says she included Eliassi-Rad on her 2021 list because of the professors extensive research on racial, gender and other baked-in biases in artificial intelligence algorithms.

Her emphasis on algorithmic accountability and fairness was particularly interesting, says Shah-Dand.

Algorithms, which scan large amounts of data and find whatever information its creators want, are increasingly part of our everyday lives. For example, credit card fraud departments use algorithms to detect abnormal spending, while social media algorithms use viewer interests to determine which ads to run.

Eliasi-Rads research at Northeastern focuses on the unseen but overwhelming influence that artificial intelligence algorithms can make in peoples lives, especially in social media.

Part of the problem with algorithms is that they can impact life-altering decisions if theyre used in criminal justice or even your credit score, says Eliassi-Rad. Microlenders, or individuals who issue small loans, will often check a candidates Facebook and Twitter feeds when deciding whether to grant a loan. A chance connection with someone who has defaulted on a loan could trigger a denial, says Eliassa-Rad.

Sometimes if you dont get the right loan in life, you cant better yourself, she says.

Eliassi-Rads career in computer science was sparked by her fathers early work with autonomous vehicles. She avidly read the many magazines he brought home and decided computer science was the perfect balance between math and electrical engineering. Her focus recently sharpened as she learned about the different class, race, and gender biases in machine learning.

She likens the data used in algorithms to an iconic photo of a police officers German shepherd attacking a Black high school student during a 1963 civil rights event in Birmingham, Alabama.

The German shepherd isnt racist, its the people teaching the dog, Eliassa-Rad says. Even if the data used in an algorithm isnt biased, the algorithm may still produce biased findings.

As you are developing an algorithm you are making choices, and those choices have consequences, Eliassi-Rad says.

Eliassi-Rad and Shah-Dand say the list of top women in AI ethics does more than provide a roster of qualified computer science professionals who also happen to be female, LGTBQ, or women of color. It creates a community to foster networking and support while providing role models for future generations.

Its sort of like a sisterhood, says Eliassi-Rad, who received an Outstanding Mentor Award from the Office of Science at the US Department of Energy in 2010. I hope young women see this and think, I can be somebody like this person.

For media inquiries, please contact media@northeastern.edu.

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This Project Democratizes AI Investments On The Blockchain – Entrepreneur

The D.AI.SY project powered by Endotech lets people get income upfront, as well as a residual income from trading profits

Let the business resources in our guide inspire you and help you achieve your goals in 2021.

February4, 20213 min read

Opinions expressed by Entrepreneur contributors are their own.

Blockchain technology is quickly becoming a popular method to create and sustain various businesses. It was first recognized when cryptocurrency went mainstream. However, it has not been heavily utilized in the financial industry until now.

A noteworthy example of emergent blockchain technology isD.AI.SY,a crowdfunding model that enables cryptocurrency holders to receive equity in various forms, as well as peer-to-peer rewards through a secure system of crowdfunding supported by blockchain technology.

D.AI.SYlets people get income upfront, as well as a residual income from trading profits. It also provides investors with stock equity through its proprietary PACESETTER equity bonus system.

The first undertaking ofD.AI.SYis a crowdfunding project with a major artificial intelligence company,Endotech. TheD.AI.SY-Endotech teamis looking to develop AI-powered investing to unlock high-risk/high-return alpha from aggregated financial data. This tactical investing technology can produce substantially increased probability and reduced risks while keeping high-returns potential for investors.

D.AI.SYis currently working on a Tron Smart Contract. There are many benefits to Smart Contract Technology, as it allows for safe interaction betweenD.AI.SYand its members, as the scaling of transaction capacity with low transaction fees. All Smart Contract transactions are transparent for verification on the blockchain. Further, the Smart Contract is also immutable and indestructible, having the ability to persist to the end of time after it is launched.

For context,Endotechhas specialized for years in developing fully-automated tactical investment platforms based on dynamic artificial intelligence modeling.

D.AI.SYis Endotechs newest project which is set to deliver a new standard of predicting the probability of success in various trading markets like Forex, cryptocurrency, commodities, among other traditional markets.

The team is spearheaded by CEO and co-founder Dr. Anna Becker, and COO and co-founder Dmitry Gooshchin. The co-founders possess immense knowledge of blockchain technology and artificial intelligence, and their ingenuity is set to be reflected in their project for years to come.

Dr. Becker has achieved a plethora of success in the fintech space of artificial intelligence. She founded Strategy Runner (acquired by MFGlobal), a trading software tool that provided full automation capabilities for over 50,000 clients with over 300 professional strategy developers. She has also worked with over 35 systematic funds and artificial intelligence technologies for brokers during her time with the Gilboa Fund-of-Funds.

Dr. Becker manages a team that oversees over 20 proprietary artificial intelligence systems that are currently operating inEndoTech. She has extensive knowledge and experience as she has worked with over 300 brokers, and served as a compliance officer working with regulatory entities, such as NFA and CFTC.

Endotechhas big plans for the development of theD.AI.SYsoftware technology, which aims to produce more predictable, stable and reduced risk investment gains in various trading markets.The Daisy solution aims to rebalance the investment ecosystem by harnessing technological developments for improved investment opportunities and sustainability while offering certified network participants access to automated investment.

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FDA issues landmark clearance to AI-driven ICU predictive tool – Healthcare IT News

The U.S. Food and Drug Administration has authorized the use of CLEW Medical's artificial intelligence tool to predict hemodynamic instability in adult patients inintensive care units, the company announced on Wednesday.

The tool, CLEWICU, uses AI-based algorithms and machine learning models to identify the likelihood of occurrence of significant clinical events for ICU patients.

CLEW says the clearance is the FDA's first for such a device.

"AI can be a powerful force for change in healthcare, enabling assessment of time-critical patient information and predictive warning of deterioration that could enable better informed clinical decisions and improved outcomes in the ICU," said Dr. David Bates, medical director of clinical and quality analysis in information systems at Mass General Brigham and CLEW Advisory Board member, in a statement.

WHY IT MATTERS

Hemodynamic instability is a common COVID-19 complication, so CLEWICU's predictive capabilities could prove especially useful during the ongoing pandemic particularly given ICUs' strained resources around the country.

By analyzing patient data from various sources, including electronic health records and medical devices, CLEWICU provides a picture of overall unit status and helps identify individuals whose conditions are likely to deteriorate.

According to the company, the system notifies users of clinical deterioration up to eight hours in advance, enabling early intervention. The system also identifies low-risk patients who are unlikely to deteriorate, thus potentially enabling better ICU resource management and optimization.

"CLEW's AI-based solution is a huge leap forward in ICU patient care, providing preemptive and potentially lifesaving information that enables early intervention, reduces alarm fatigue and can potentially significantly improve clinical outcomes," said Dr. Craig Lilly of University of Massachusetts Medical School in a statement.

THE LARGER TREND

The FDA granted emergency use authorization to CLEWICU back this past June. The tool was among several AI-powered technology innovations developed, or modified, in response to the ongoing pandemic.

Mayo Clinic Chief Information OfficerCris Ross said in December that AI has been crucial in understanding the pandemic. He noted the variety of COVID-19-specific use cases, while he also flaggedthe risk of algorithmic bias.

"We know that Black and Hispanic patients are infected and die at higher rates than other populations. So we need to be vigilant for the possibility that that fact about the genetic or other predisposition that might be present in those populations could cause us to develop triage algorithms that might cause us to reduce resources available to Black or Hispanic patients because of one of the biases introduced by algorithm development," said Ross.

ON THE RECORD

"We are proud to have received this landmark FDA clearance and deliver a first-of-its-kind product for the industry, giving healthcare providers the critical data that they need to prevent life-threatening situations," said Gal Salomon, CLEW CEO, in a statement.

Kat Jercich is senior editor of Healthcare IT News.Twitter: @kjercichEmail: kjercich@himss.orgHealthcare IT News is a HIMSS Media publication.

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FDA issues landmark clearance to AI-driven ICU predictive tool - Healthcare IT News

My AI-moderated video chat with strangers gave me hope – Engadget

A pause button at the bottom of the screen would play a 20-second video clip featuring tall green trees and sounds of birds chirping and is intended help users calm down if things get heated. It plays over the entire video chat, too, and everyone has to take a break. A Chat button on the right pulled up a window for us to interact via text with both Serenity and other participants. There were also options to turn off our mics and cameras. Serenity told us to mute ourselves when not speaking (which I was grateful for because the feedback from seven peoples mics was infuriating).

After the introduction, Serenity asked everyone What are you mirroring now? That was a confusing question to start with, but one of my fellow attendees rephrased it for us. He speculated that it meant what we were thinking about and reflecting on, and we all answered based on that interpretation. At this point, the experience may sound painfully familiar and borderline pointless.

But Serenity went on to ask truly thought-provoking questions, like what wed like to see more of in 2050 or what wed like to not be talking about in that year. Then, it continued prodding, asking about the types of new jobs that would need to be created to facilitate some of our groups declared values and the world we wanted to create. The questions also differ slightly across all the sessions, according to McCarthy. She said that Each session follows an arc and many of the questions are the same, but there's also variation in response to the group discussion and flow.

Beyond the Breakdown

Beyond the Breakdown is about more than just introspection and imagining the future, though. Its core focus is conversation and dialogue otherwise why have you answer these questions with a group of strangers? Whenever it seemed like not everyone had responded, Serenity asked if anybody had more to add.

Learning from others in the conversation was what made the experience illuminating and hopeful. When Serenity asked where we thought people would call home in 2050, my fellow participants answers surprised me. I was thinking of more straightforward answers like, Earth, for example, but others talked about communal living spaces. Some questions were pretty vague, though, like What does care look like in this world, and some members of my group chose to interpret it as healthcare while others took it to mean community care.

Still, seeing how people interpreted and responded to the questions was part of learning about various perspectives. Like Lee said, the sessions offer an opportunity to build something rather than just ingest. Had I only been speaking with Serenity, I would have missed out on the collaborative aspect.

But of course, the quality of your BTB experience hinges on the people you get to interact with. My session was filled with a somewhat biased, self-selecting sample Sundance attendees that had access to a computer and spoke English. That excludes people from different socio-economic backgrounds or other nationalities that didnt converse in English. And while I applaud BTBs built-in accessibility features like live closed-captioning and text-based support, there are plenty of other considerations that still have to be made.

Beyond the Breakdown

That said, the fact that I was speaking with intelligent, seemingly like-minded people was a huge part of why I enjoyed BTB. It left me hopeful that the world isnt filled with angry people who shut down rational discourse, and that there are people committed to building a better future through empathy, sympathy and by listening to others. But I can imagine how my experience would have been completely different had it been filled with people who disagreed on fundamental issues. Sure, theres always the Pause button to cool things down, and anyone who signs up for a session of BTB is most likely going to be open-minded and agreeable to begin with. But Im not sure a 20-second timeout would be enough to cool down a truly heated argument.

Patrick said one of the questions he wanted BTB to answer was, Is it possible for a browser to help us with communal and community care? McCarthy added, What if the browser or the video chat experience itself could be leading you through this process, and what happens if we start to bring AI into that?

I didnt see Serenity step in to calm down a tricky situation since my session mates were all respectful and agreeable. In retrospect, I wish someone in my group had at least pretended to get heated to see how Serenity would have handled things. I like the idea of a neutral AI moderator leading the conversations, since it could appear more objective to participants regardless of their ideological differences. But I do believe that Beyond The Breakdown has an inherent limit: reach. The people we need to be having open-minded and open-hearted conversations in safe spaces with might not be likely or willing to sign up for such a chat. What it does offer to those of us keen on speaking with people around the world though, is a glimmer of hope as we shake off the debris of 2020 and head into the rest of the decade.

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My AI-moderated video chat with strangers gave me hope - Engadget

RSA Unveils AI-Based Threat Detection Solution – MSSP Alert

by Dan Kobialka Feb 4, 2021

RSA has announced NetWitness Detect AI, a SaaS analytics and machine learning solution that provides threat detection and insights on data captured via the NetWitness Platform.

The launch comes roughly five months afterSymphony Technology Group (STG) acquired RSAfromDell Technologies for $2.08 billion. Under STGs ownership, RSA is focused on three business segments:

NetWitness Detect AI certainly aligns with those priorities. Positioned as a turnkey solution, RSA says the software helps security teams investigate cyber threats. More specifically, it provides continuous, high-fidelity threat detection and monitoring without rules, signatures or manual analysis, RSA asserts.

NetWitness Detect AI helps security teams assess threats at every stage of the attack lifecycle and prioritize critical incidents, RSA indicated.

Security teams can use NetWitness Detect AI to find, prioritize and resolve threats, RSA noted. They can leverage NetWitness Detect AIs cloud-scale processing for behavior analytics and its machine learning to detect and respond to threats without manual oversight.

In addition, security teams can utilize NetWitness Detect AI to speed up incident response, according to RSA. Security teams can leverage NetWitness Detect AIs unsupervised machine learning from the moment it is activated, so they can immediately use it for incident response.

NetWitness Detect AI is now available globally and can be integrated into the NetWitness Platform.

The NetWitness Platform lets security teams collect and analyze data across endpoints and computing platforms, RSA said. It adds threat intelligence and business context to this information to help security teams accelerate threat detection and response.

Also, the NetWitness Platform offers a variety of threat detection and response capabilities, including:

Along with the NetWitness Platform, RSA offers SecureID identity and access management (IAM), Archer integrated risk management and other security products.

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RSA Unveils AI-Based Threat Detection Solution - MSSP Alert

US defense must have foundations for AI integration by 2025, report says – Global Government Forum

Military intelligence: the DoD is now trying to make the leap to a software-intensive enterprise says the new report from the NSCAI.

The US Department of Defense (DoD) must set an ambitious goal to have the foundations for widespread integration of artificial intelligence (AI) across defence in place by 2025, according to a draft of the final report from the National Security Commission on Artificial Intelligence (NSCAI).

This should include a common digital infrastructure that is accessible to internal AI development teams and critical industry partners, a technically literate workforce, and modern AI-enabled business practices that improve efficiency.

The draft report was published last month; the final version will be released on 1 March 2021.

The Commission has advocated for greater investment and uptake in AI in the defence and security sectors. It frames the USs efforts in AI similarly to an arms race, as hostile actors develop their own capabilities in autonomous weaponry, cyber tools and disinformation.

The magnitude of the technological opportunity coincides with a moment of strategic vulnerability. China is a competitor possessing the might, talent, and ambition to challenge Americas technological leadership, military superiority, and its broader position in the world, the introduction notes.

AI is deepening the threat posed by cyber attacks and disinformation campaigns that Russia, China, and other state and non-state actors use to infiltrate our society, steal our data, and interfere in our democracy, it adds.

The NSCAI was established in August 2018 as part of the annual defence spending settlement, with a mission to scope out how to advance AI, machine learning and associated technologies in relation to US national security and defence needs.

It is chaired by former Google chief executive Dr Eric Schmidt. The vice chair is Robert Work, a former Deputy Secretary of Defense from 2014 to 2017, under both the Obama and Trump administrations.

Its fifteen commissioners, supported by a secretariat of 25 staff, have completed five interim reports and memos since July 2019, informed by submissions from a wide range of experts. The commission is scheduled to be wound up in October 2021.

Previous reports have urged policies such as creating a national digital corps, setting up a military cyber academy, and increasing the federal budget for research and development into AI and associated technologies, according to US government news website Fedscoop.

The draft final report is in two halves. The first, Defending America in the AI Era, focuses on the defence applications of AI, and what the US should do to respond to the spectrum of AI-related threats from state and non-state actors.

In the second part, Winning the Technology Competition, the commission looks at AI as part of a wider global competition around new technologies and recommends policies to promote innovation in AI and create a critical and competitive advantage for the US.

The introduction paints a picture of a nation at risk of slipping behind competitor states, which, in future, could include small nations and actors able to exploit affordable, off-the-shelf hardware and readily available algorithms.

The report is also blunt about Chinas capability. In some areas of research and applications, China is already an AI peer, and it is more technically advanced in some applications. Within the next decade, China could surpass the United States as the worlds AI superpower, it notes.

It warns that US citizens have also not recognised the assertive role the government will have to play in ensuring the United States wins this innovation competition or the public investment needed. Despite our private sector and university leadership in AI, the United States remains unprepared for the coming era, the commission writes.

On the other hand, capabilities in AI could ensure the US can respond with greater agility to new or emerging vulnerabilities. Global crises exemplified in the global pandemic and climate change are expanding the definition of national security and crying out for innovative solutions. AI can help us navigate many of these challenges, the introduction says.

The authors argue that AI development and implementation requires a stack of interconnected elements containing including talent, data, hardware, algorithms, applications, and integration.

We regard talent as the most essential requirement because it drives the creation and management of all the other elements, the report says, recommending a focus on improving the government technology talent pipeline, both through new recruiting practices and retraining current employees.

If government agencies do not have enough of the right talent, every AIinitiative will struggle and most will fail, said commissioner Dr Jos-Marie Griffiths, president of Dakota State University, according to Fedscoop.

While the US armed forces might already deploy, and be able to counter, drones and autonomous weapons, the NSCAI warns that rapidly advancing capabilities could change the dynamic within human-machine teams.

In the past, computers could only perform tasks that fell within a clearly defined set of parameters or rules programmed by a human. As AI becomes more capable, computers will be able to learn and perform tasks based on parameters that humans do not explicitly program, creating choices and taking actions at a volume and speed never before possible.

The report therefore sees the construction of an AI infrastructure as the first step to creating new defence capabilities. DoD has long been hardware-oriented toward ships, planes, and tanks. It is now trying to make the leap to a software-intensive enterprise, it notes.

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US defense must have foundations for AI integration by 2025, report says - Global Government Forum

HealthTensor raises $5M for its AI-based medical diagnosis tools – Healthcare IT News

HealthTensor, an artificial intelligence company creating software to help augment medical decision-making, has raised a $5 million in a seed round of financing led by Calibrate Ventures, TenOneTen Ventures and Susa Ventures.

WHY IT MATTERS

The round also includes hospitals and physicians, including a medical officer at Amazon Health. Funds will be used to scale the company's software engineering and implementation team to keep up with demand from major health systems, the vendor said.

HealthTensor's software functions between physicians and the troves of raw medical data from any given patient, which often is more than any individual doctor can handle. The company uses advanced algorithms to do AI-enabled diagnosiswith the aim of ensuring no medical condition is overlooked. The software was designed with the physician workflow in mind, enabling frictionless adoption of the product by users, the company contended.

"HealthTensor makes me a better doctor because it allows me to spend less time in front of the computer and more time in front of the patient," said Dr. Tasneem Bholat, an early user of HealthTensor's software. "HealthTensor synthesizes all the data from the patient's chart, saving me from doing chart biopsy and surfacing diagnoses I might have otherwise missed."

The company's software currently is integrated within several hospitals and will expand to more in the coming months, the vendor reported.

THE LARGER TREND

The use of AI in healthcare has been on the rise throughout 2020. According to some experts, 2021 could be a big year for AI and machine learning.

"AI had become mythical, but 2021 looks set to be the year where it may come into its own in the health sector, along with the use of automation," said Dr. Sam Shah, chief medical strategy officer at Numan and former director of digital development at NHSX. "During the next year, we are likely to see more solutions that support, not only imaging, but also the quality of reporting,as well as the greater use of natural language processing.

"The combination of these technologies will help improve efficiency in health systems as they begin to recover from the pandemic," he said.

ON THE RECORD

"We think of HealthTensor as an AI-powered medical resident that is focused specifically on the tedious, data-driven aspects of medicine, which is what computers do best," said Eli Ben-Joseph, cofounder and CEO of HealthTensor.

"Many doctors are forced to spend a majority of their day focused on data aggregation from medical records, which leads to missed diagnoses, patient dissatisfaction and physician burnout. HealthTensor frees up the physician to focus on the conceptual and emotional aspects of medicine, which is what humans do best."

"HealthTensor makes doctors' lives easier and helps provide better patient care, ultimately generating revenue for hospitals, making it one of the rare startups that has massive global potential for both patients and healthcare providers," said Jason Schoettler, general partner at Calibrate Ventures.

Twitter:@SiwickiHealthITEmail the writer:bsiwicki@himss.orgHealthcare IT News is a HIMSS Media publication.

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HealthTensor raises $5M for its AI-based medical diagnosis tools - Healthcare IT News

Scientists are working with AI to measure chronic pain – Axios

Scientists are working on a way to use AI to create quantitative measurements for chronic pain.

Why it matters: Chronic pain is an epidemic in the U.S., but doctors can't measure discomfort as they can other vital signs. Building methods that can objectively measure pain can help ensure that the millions in need of palliative care aren't left to suffer.

What's happening: Late last month, scientists from IBM and Boston Scientific presented new research outlining a framework that uses machine learning and activity monitoring devices to capture and analyze biometric data that can correspond to the perception of pain.

What they're saying: "We want to use all the tools of predictive analytics and get to the point where we can predict where people's pain is going to be in the future, with enough time to give doctors the chance to intervene," says Jeff Rogers, senior manager for digital health at IBM Research.

Background: According to one estimate, more than 100 million Americans struggle with chronic pain, at an annual cost of as much as $635 billion in painkillers and lost productivity.

What's next: Rogers hopes the research can lead to medical devices that could predict chronic pain signals ahead of suffering and adjust their response accordingly.

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Scientists are working with AI to measure chronic pain - Axios

BSC Working Towards Adoption of AI Applications to Capture Insights on Personalised Healthcare – HPCwire

Feb. 4, 2021 BSC participates in the AI-SPRINTproject contributing its experience on the programming and parallelization of applications on distributed infrastructures. The work will be organized in two main contributions, the deployment ofCOMPSson the edge devices considered by the use cases and the implementation of the AI applications to be executed across distributed heterogeneous infrastructures (on premise, edge and public clouds). In particular,AI-SPRINTwill benefit from the recent developments on the adaptation ofCOMPSsfor Fog to Cloud platforms and will extend it to support the execution of serverless functions as a service.

On the other side,COMPSswill be adopted to develop AI and big data applications in support of the use cases also leveraging the recent enhancements to develop workflows that combine HPC compute engines with High Performance Data Analytics (HPDA) and machine learning methods. These ML implementations are available through thedislib librarythat is also part of theFujitsu-BSCcollaboration.

The technology developed within the project will be put to test by BSC on a personalized healthcare use case that will focus on privacy and security, much needed in healthcare scenarios since the information to be exchanged and processed involves medical data about patients.

More specifically, an automated system for personalized stroke risk assessment and prevention will be developed by using continuous, non-invasive monitoring of heart activity. The process will gather heart parameters collected from a wearable device, patients lifestyle information and biochemical blood indicators from a mobile application. All data will be anonymized, processed and used to train AI models cooperatively by local edge servers and cloud. At the same time, it will provide personalized notifications, alerts, and recommendations for stroke prevention.

AI-SPRINTdefines a novel framework for the design and operation of AI applications in computing continua leveraging theCOMPSsprogramming framework and supporting AI applications development by enabling the seamless design and partition of AI applications among the plethora of cloud-based solutions and AI-based sensor devices. Moreover it will generate impacts bringing together different European industrial end-users while and making available the software tools through a marketplace for AI start-ups, SMEs, system integrators, and European cloud providers statesDaniele Lezzi, Senior Researcher in theComputer Sciences department Workflows and Distributed Computingat BSC.

About COMPSs:

COMPSsis a task-based programming model known for notably improving the performance of large-scale applications by automatically parallelizing their execution. TheCOMPSsruntime has been recently extended within BSC projects:CLASSandELASTICto manage distribution, parallelism and heterogeneity in the edge resources transparently to the application programmer and to handle data regardless of persistency by supporting a single and unified data model.COMPSsis the base of the Design Tools of the project and it will support developers to easily compose AI/ML applications also leveraging the dislib library, helping end users to deal with big datasets on distributed resources and providing automatic parallelization of the code.

About Personalized Healthcare:

AI-SPRINTapplications will pave the way for an effective framework for personalized AI models preventing risks coupled with a lifestyle modificationmodification programmebenefiting people aged between 40 and 80, improving and extending human lives. The project addresses theUnited Nations strategic development goalsSDG3 (Good Health and Well Being) through the personalized healthcare pilot.

About AI-SPRINT

AI-SPRINTwill tackle the skill shortage and considerably reduce steep learning curves in the development of AI software on edge ecosystems through OSS (Operations Support System). The project addresses the followingUnited Nations strategic development goals(SDGs): SDG8 (Decent Work and Economic Growth) enabling novel AI applications running in computing continua, SDG9 (Industry, Innovation and Infrastructure) by fostering innovation in the maintenance and inspection use case and contributing OSS and SDG12 (Ensure sustainable consumption and production patterns) through farming 4.0 pilot.

For further information, visit AI-SPRINT website:https://www.ai-sprint-project.eu/

The AI-SPRINT project has received funding from the European Union Horizon 2020 research and innovation programme under Grant Agreement No. 101016577

Source: BSC

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BSC Working Towards Adoption of AI Applications to Capture Insights on Personalised Healthcare - HPCwire

Googles AI-focused venture fund leads $5.4M investment for Seattle analytics startup Iteratively – GeekWire

Iteratively CEO Patrick Thompson. (Iteratively Photo)

Seattle startup Iteratively raised a $5.4 million round led by Gradient Ventures, Googles AI-focused venture fund.

Founded in 2019 by veterans of Atlassian and Microsoft, Iteratively sells software to data and product teams for customer analytics tracking. The idea is to help prevent data quality problems at the outset of entry and have standardized customer data in one place. Iteratively integrates with third-party data analytics tools such as Amplitude, Mixpanel, Segment, dbt, and more.

Box, Beekeeper, thredUP, Dribbble, and others are clients.

The 10-person company is led by CEO Patrick Thompson, who co-founded Iteratively with Ondrej Hrebicek. They previously worked together at Syncplicity, a file sharing startup co-founded by Hrebicek that was acquired by EMC in 2016.

We kept hearing the same thing from data and product teams that they have lost confidence in their analytics, Thompson said in a statement. We built a tool that helps them rebuild trust in their data and empowers them to collaborate on analytics. We believe data is a team sport and collaboration is key for cross-functional teams to succeed.

Fika Ventures and PSL Ventures also participated in the round. PSL Ventures led a previous round in 2019. Zach Bratun-Glennon, partner at Gradient Ventures, joined the board.

The Iteratively team possesses a relentless focus on finally creating the source of truth for analytics data, PSL wrote in a blog post. This trustworthy foundation unlocks countless new data use cases from personalization and recommendation engines to drive growth, churn prediction and prevention to improve retention, and new 1-1 marketing scenarios.

Google launched Gradient Ventures in 2017 as part of Alphabets continued investment in AI. Gradient portfolio companies get access to AI training from Google and help from Google engineers.

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Googles AI-focused venture fund leads $5.4M investment for Seattle analytics startup Iteratively - GeekWire

IBM adds AI-powered tools to support return-to-work operations – HR Dive

Dive Brief:

The pandemic has transformed trends in office design that may have once pointed in the direction of open formats at many organizations.

This is partly reflected in the recommendations of public health officials, including the Centers for Disease Control and Prevention (CDC). In June 2020, the agency said employers should make changes to ensure social distancing or use transparent barriers in cases where social distancing is not possible. CDC's guidance also called on employers to increase cleaning of common areas and improve ventilation.

Research from last year appeared to show most employers were heeding calls for increased safety measures. A June survey of organizations by WorldatWork found that a majority planned to implement policies such as additional cleanings, reduced meeting sizes, workspace modifications and mask and temperature screening requirements.

Employers that previously operated communal office spaces adjusted early on in the pandemic. During an August 2020 webinar, an official with biopharmaceutical firm Abbvie described the company's decision to install touchless water facilities as well as automated systems for coffee areas. Others, such as publishing company Wiley, have embraced fully remote or hybrid work arrangements to reduce the need for physical office space.

IBM's TRIRIGA announcement is geared toward ensuring a flexible future for modern workplaces, Kendra DeKeyrel, director of IBM TRIRIGA offering management, said in the statement; "Returning to the workplace after nearly a year at home is going to be a challenging transition, not only for employers who need to create new spaces and protocols but for workers who need assurances their workplaces are safe, and need help navigating a changed and potentially more confusing workspace."

The return to offices could provide employers an opportunity to replace outdated equipment, according to a June 2020 report from the International Association of IT Asset Managers. The organization said firms could seek ways to turn technology investments made at the beginning of the pandemic into long-term asset strategy.

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IBM adds AI-powered tools to support return-to-work operations - HR Dive

Universal Robots Safety Expert Recognized in 20 Exceptional Women in Robotics and Automation List by SME – Yahoo Finance

Roberta Nelson Shea, Universal Robots Global Technical Compliance Officer, is celebrated today by SME, the professional association committed to advancing manufacturing. SME is recognizing 20 successful female leaders working to broaden the use of robotics and automation in the smart manufacturing market globally. Nelson Shea made the list based on a lifelong career furthering the belief that productivity and robotics safety can be combined.

The international group of remarkable women on SMEs list published today represent a comprehensive cross section of technologies in robotics and automation. The list was developed by U.S.-based Smart Manufacturing magazine published by SME in consultation with several leaders across the robotics and automation industries.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20210204005733/en/

Roberta Nelson Shea joined Universal Robots as Global Technical Compliance Officer in 2016. She is recognized as a global authority on robotic safety standards and has long blazed the trail for women in a traditionally male-dominated industry. (Photo: Business Wire)

The list highlights the work of Roberta Nelson Shea, who joined Universal Robots (UR) as the companys Global Technical Compliance Officer (GTCO) in 2016. She has long blazed the trail for women in a traditionally male-dominated industry; Nelson Shea was the first woman to serve on the Board of Directors of Robotic Industries Association (RIA) where she also participates in mentoring diversity efforts to get women more involved and recognized.

"From an engineering and management standpoint, women were and continue to be in the minority in the robotics industry. Fortunately, we are starting to see this slowly changing," she says. "Since joining UR, I see more female engineers in software development, coding and user interface than I saw before."

According to Robert Willig, executive director and CEO of SME, the industry still has miles to go in balancing diversity in manufacturing. "Those with the knowledge, creativity and drive to raise the level of technology and innovation can achieve success," he says. "This group of women has not only the vision to create new products and in some cases even new product categories they also have the technological background and the business acumen to bring them to market and a willingness to teach others the processes necessary to make the next generations successful in our industry."

Story continues

Nelson Shea chaired the U.S. National Robot Safety Committee for 23 years, spent 40+ years within manufacturing automation, and is recognized as a global authority on robotic safety standards most recently as Convenor of the ISO working group for industrial robotic safety (ISO/TC 299 WG3).

Collaborative robots or cobots remain the fastest growing segment of industrial automation, projected to grow at a Compound Annual Growth Rate (CAGR) of 30.37% during 20202025. UR leads the cobot market, having recently celebrated the sale of its 50,000th cobot. The emergence of robots that work alongside human workers and their importance in advanced manufacturing has brought robotics safety into the spotlight, says Nelson Shea:

"Im deeply honored to receive this recognition from SME. Robotics safety might be regarded as sort of the ugly stepchild in the industrial automation industry. It was not as sexy or jazzy as artificial intelligence, neural networks and other developing technologies within robotics," she says. "UR changed this. When you have humans and robots working within the same space instead of separated as was the case with traditional industrial robot applications safety becomes much more complex and the nuances are very different. Safety now might mean that the robot slows or changes position compared to simply stopping. My overall mission is to demystify robotic safety and make sure the deployment barriers are broken down. I am an advocate of global harmonization of safety requirements to reduce costs of designs, manufacturing, and compliance."

At UR, Nelson Shea works closely with R&D colleagues in the safety aspects of new UR products and use scenarios. She also fields questions from customers wondering if UR cobots can be used in specific applications in accordance with the robotics safety standards. "I really enjoy working at UR, the caliber of their engineers is superlative. Its a very innovative environment where were constantly pushing the envelope to provide a better and easier-to-use robot."

Nelson Shea was previously honored by the American Society of Safety Professionals as being one of the top 100 Women in Safety over the past 100 years. "I deeply believe that automation can be done in a safe way that works well for the people interfacing with the equipment while having high productivity," she says. "Having a strong robot safety standard has contributed to the success of the industrial robotics market," she concludes citing a favorite quote from John Lizzi, executive director of robotics at GE Global Research: "We see robots, and specifically industrial robotics, as moving through three phases: robots as tools to robots as partners and, ultimately, to robots that sustain the things we care about."

Press kit

Download photos of Roberta Nelson Shea here.

About Universal Robots

Universal Robots (UR) was founded in 2005 to make robot technology accessible to all by developing small, user-friendly, reasonably priced, flexible collaborative robots (cobots) that can be safe to work side by side with people. Since the first cobot was launched in 2008, the company has experienced considerable growth with the user-friendly cobot now sold worldwide. The company, which is a part of Teradyne Inc., is headquartered in Odense, Denmark, and has regional offices in the United States, Germany, France, Spain, Italy, UK, Czech Republic, Poland, Hungary, Romania, Russia, Turkey, China, India, Singapore, Japan, South Korea, Taiwan and Mexico. For more information, please visit http://www.universal-robots.com.

View source version on businesswire.com: https://www.businesswire.com/news/home/20210204005733/en/

Contacts

Company contact: Joe CampbellSenior Manager, Strategic Marketing & Applications Developmentjoca@universal-robots.com 1-844-GO-COBOT

Media contact: Mette McCallMcCall Mediamette@mccallmedia.net +1-415-800-3517

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Universal Robots Safety Expert Recognized in 20 Exceptional Women in Robotics and Automation List by SME - Yahoo Finance

MiRoCLOUD is a simple to use AI robotics creative coding home learning tool for all – Yahoo Finance

TipRanks

Lets talk about risk and the big picture. Its an appropriate time, as the big risk presented by the COVID-19 pandemic is finally receding thanks to the ongoing vaccination program. COVID is leaving behind an economy that was forced into shutdown one year ago while in the midst of a great expansion, boosted by the deregulation policies. While the new Biden Administration is busy reversing many Trump policies, at least for now the economy is rebounding. And this brings us to risk. A time of economic growth and rebound is a forgiving time to move toward risk investments, as general economic growth tends to lift everything. Two strategists from JPMorgan have recently chimed in, promoting the view that the markets fundamentals are still sound, and that small- to mid-cap sector is going to keep rising. First, on the general conditions, quant strategist Dubravko Lakos-Bujas wrote, Although the recent technical selloff and short squeeze is receiving a lot of attention, we believe the positive macro setup, improving fundamentals and COVID-19 outlook, strength of the US consumer, as well as the reflation theme remain the bigger forces at play. Not only should this drive further equity upside, but it remains favorable for continued rotation into economic reopening Building on this, Eduardo Lecubarr, chief of the Small/Mid-Cap Strategy team, sees opportunity for investors now, especially in the smaller value stocks. We stick to our view that 2021 will be a stockpickers paradise with big money-making opportunities if you are willing to go against the grain Many macro indicators did fall in January but SMid-Caps and equities in general continued to edge higher, Lecubarr noted. And if you are prone to look at high-risk, small- to mid-cap stocks, youll find yourself drawn to penny stocks. The risk involved with these plays scares off the faint hearted as very real problems like weak fundamentals or overwhelming headwinds could be masked by the low share prices. So, how should investors approach a potential penny stock investment? By taking a cue from the analyst community. These experts bring in-depth knowledge of the industries they cover and substantial experience to the table. Bearing this in mind, we used TipRanks database to find two compelling penny stocks, according to Wall Street analysts. Both tickers boast a Strong Buy consensus rating and could climb over 200% higher in the year ahead. CNS Pharmaceuticals (CNSP) We will start with CNS Pharmaceuticals, a biotechnology company with a focus on the treatment of glioblastomas, a class of aggressive tumors that attack the braid and spinal cord. These cancers, while rare, are almost always terminal, and CNS is working a new therapy designed to more effectively cross the blood-brain barrier to attack glioblastoma. Berubicin, CNSs flagship drug candidate, is an anthracycline, a potent class of chemotherapy drugs derived from the Streptomyces bacteria strains, and used in the treatment of a wide variety of cancers. Berubicin is the first drug in this class to show promise against glioblastoma cancers. The drug candidate has completed its Phase 1 clinical trial, in which 44% of patients showed a clinical response. This number included one patient who showed a Durable Complete Response, defined as a demonstrated lack of detectable cancer. Following the success of the Phase 1 study, CNS applied for, and received, FDA approval of its Investigational New Drug application. This gives the company the go-ahead to conduct a Phase 2 study on adult patients, an important next step in the development of the drug. CNS plans to start the mid-stage trial in 1Q21. Based on the potential of the companys asset in glioblastoma, and with its share price at $2.22, several analysts believe that now is the time to buy. Among the bulls is Brooklines 5-star analyst Kumaraguru Raja who takes a bullish stance on CNSP shares. Until now, the inability of anthracyclines to cross the blood brain barrier prevented its use for treatment of brain cancers. Berubicin is the first anthracycline to cross the blood-brain barrier in adults and access brain tumors Berubicin has promising clinical data in a Phase 1 trial in recurrent glioblastoma (rGBM) and has Orphan drug designation for treatment of malignant gliomas from the FDA. We model approval of Berubicin for treatment of recurrent glioblastoma in 2025 based on the Phase 2 data with 55% probability of success for approval. We model peak sales of $533 million in 2032, Raja opined. CNS pipeline also includes WP1244 (novel DNA binding agent) that is 500x more potent than daunorubicin in inhibiting tumor cell proliferation is expected to enter the clinic in 2021 In vivo testing in orthotopic models of brain cancer showed high uptake of WP1244 by brain and subsequent antitumor activity, the analyst added. To this end, Raja rates CNSP a Buy, and his $10 price target implies room for a stunning 350% upside potential in the next 12 months. (To watch Rajas track record, click here) What does the rest of the Street have to say? 3 Buys and 1 Hold add up to a Strong Buy consensus rating. Given the $8.33 average price target, shares could climb ~275% in the year ahead. (See CNSP stock analysis on TipRanks) aTyr Pharma (LIFE) The next stock were looking at, aTyr Pharma, has a focus on inflammatory disease. Its leading drug candidate, ATYR1923, is a Neuropilin-2 (NRP2) agonist, working through the receptor proteins expressed by the NRP2 gene. These pathways are important for cardiovascular development and disease, and play a role in the inflammatory lung disease pulmonary sarcoidosis. In December, the company reported that the drug candidate had completed enrollment of 36 patients in a Phase 1b/2a clinical trial, testing the drug in the treatment of pulmonary sarcoidosis. Results of the current study are expected in 3Q21, and will inform further trials of ATYR1923, including against other forms of inflammatory lung disease. On a more immediate note, in early January the company announced top-line results of another Phase 2 clinical involving ATRY1923 this time in the treatment of patients hospitalized with severe respiratory complications from COVID-19. The results were positive, showing that a single dose of ATYR1923 (at 3 mg/kg) resulted in a 5.5-day median recovery time. Overall, of the patients dosed in this manner, 83% saw recovery in less than one week. Covering LIFE for Roth Capital, 5-star analyst Zegbeh Jallah noted, We like the risk profile here, with two shots on goal, and updated data details from the COVID study is expected in the coming months. Also announced recently, is that data from aTyr's Pulmonary Sarcoidosis program, will be reported in 3Q21 the success of either of these studies could result in a doubling or more of the market cap as these opportunities appear to barely be accounted for by investors. In line with his optimistic approach, Jallah gives LIFE shares a Buy rating and his $15 price target suggests an impressive 277% potential upside for the coming year. (To watch Jallahs track record, click here) Other analysts are on the same page. With 2 additional Buy ratings, the word on the Street is that LIFE is a Strong Buy. On top of this, the average price target is $13.33, suggesting robust growth of ~236% from the current price of $3.97. (See LIFE stock analysis on TipRanks) To find good ideas for penny stocks trading at attractive valuations, visit TipRanks Best Stocks to Buy, a newly launched tool that unites all of TipRanks equity insights. Disclaimer: The opinions expressed in this article are solely those of the featured analysts. The content is intended to be used for informational purposes only. It is very important to do your own analysis before making any investment.

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MiRoCLOUD is a simple to use AI robotics creative coding home learning tool for all - Yahoo Finance

Twenty women making their mark in robotics & automation – Advanced Manufacturing

One woman set up the Australian Centre for Robotic Visionthe worlds first such centerand then led efforts to create Australias first Robotics Roadmap. One co-founded a robot vacuum cleaner company and changed housework forever. Another, in Stockholm, is working with the United Nations in disease and natural disaster response. Yet another is helping close the skills gap in manufacturing. If there is a common thread found in the women Smart Manufacturing identified as making their mark in robotics and automation, it is a heightened awareness of the impact humans have on the planet without trying, as well as the positive impact we can have with concerted efforts. They see robots and drones as Jills of all trades that serve as helpful companions in education, health care and aging, as eyes that open new worlds in ocean depths, as positive-impact devices and as what (when paired with other automation technology) can enable indoor farming and sustain the things we care about. The 20 women profiled here are helping create a better world. On behalf of humanity, the magazine thanks them for their hard work, sharp minds and true grit. Because community building is so important, we are thrilled to see that Amy Elliott, Gillan Hawkes, Elena Messina, Roberta Nelson Shea and Nicole Renee Williams are members of SME.

Le Matre was inspired to become an engineer while reading The Mysterious Island, a Jules Verne tale of American Civil War escapees who used teamwork, scientific knowledge, engineering and perseverance to build a colony from scratch on an uncharted Pacific island. This was an interesting metaphor of how people are able to change the world and make it a better place by engineering new devices, she said. Making the world better is a theme that permeates her thinking: I strongly believe that as engineers, we have a moral obligation to change the world to make it a better place. As humans, by design, we have a negative impact on earth. Therefore, it is our duty to build things that may balance that. I believe that by focusing on Green IT, clean data centers, energy-efficient components, we can create positive-impact devices and make the world a better place. Unfortunately, the first positive-impact device she built, a retail and hospitality robot named Heasy, lived a short life before a fire destroyed the business in October 2019.

Yakoob was inspired to pursue a career in robotics and automation by the Daleks, an extraterrestrial race from the British television program Dr. Who, and by R2-D2 and C-3PO from the Star Wars movies. Since then, my fascination and curiosity have always steered methrough high school and beyondin identifying and selecting subjects and courses that brought me closer and closer to understanding the workings of my childhood robotic heroes. Having been in the field, shes eager to dispel the thought that robotics and automation are fields only for men. The skills required to be successful can be attained irrespective of what gender you are, she said. Yakoob sees a role for herself and her robots beyond manufacturing, including health care, hospitality and farming: I would like to contribute toward applying robotics in assistive technologies, such as smart prosthetics, in improving the quality of life for the increasingly growing senior population and applying robotics and automation in enabling indoor farming, making healthy, affordable food available to all.

Nelson Shea lives by advice that is helpful to anyone: Get involved in trade organizations. For her, becoming involved in developing standards for robotics safety provided terrific networking opportunities. Clearly a joiner, Nelson Shea is a lifetime member of SMEand enjoys benefits like great conferences, networking, and speaking opportunities, she said. Partly through her efforts, Nelson Shea said the United States took the lead on robot safety. I was part of a team of people who deeply believedthat automation could be done in a safe way that would work well for the people interfacing with the equipment while having high productivity, she said. I believe that having a strong robot safety standard contributed to the success of the industrial robotics market. There is more to come, she said, citing a quote from John Lizzi, executive director of robotics at GE Global Research. We see robots, and specifically industrial robotics, as moving through three phases: robots as tools to robots as partners and, ultimately, to robots that sustain the things we care about.

Hawkes spotted the shift to people ordering online for home delivery early. She knew it would be a major growth area. That allowed her to leverage my path to go into supply chain management, but traditional tactics werent exciting, she said. The innovation was happening in robotics and automation. I wanted to be a part of that. Hawkes joined 6 River Systems (6RS) in 2018 and got to work improving its services and warehouse products. This made 6RS well positioned to support its customers when the pandemic hit. I am proud to have contributed to not only improving efficiencies but maintaining safety in our customers workplaces and keeping the supply chain moving, she said. Next, Hawkes would like to democratize robotics and automation in the marketplace. If 6RS could have touchpoints in large fulfillment centers, shopping centers and even in small local businesses, she said, I would consider that a massive achievement.

About eight years ago, Lau began looking for more impactful work. Inspired by a project at Willow Garage that enabled people with quadriplegia to program robots, Lau joined the robotics research lab for about a year and subsequently turned her professional attention to robots. She started a service robot company with several Willow alum and then established her own firm. While I had spent my life up to that point developing software, I realized that robotics had immense potential to improve peoples lives on a daily basis, she said. Unlike software, which is confined to a screen, robots live out in the human world. Today, Laus robots provide mistake-free, data-driven layout at construction sites that is derived from building information modeling software, improving productivity and the lives of workers, designers and engineers. Our next milestone is truly scaling up our robotics product to get it on every commercial construction site in the U.S., she said. Scaling a robotics product requires a different set of skills, and a different organization versus building the first prototype.

Wises entry into the robotics industry was serendipitous. She joined a team sponsored by Willow Garage founder Scott Hassan building an autonomous vehicle for the DARPA Urban Challenge in 2007. After the vehicle did an autonomous lap around the parking lot of the robotics R&D firm, Hassan soon offered her a job. That kind of real-world demonstration echoes in Wises career accomplishment: building autonomous mobile robots at her company, Fetch Robotics, that function in factories and high-volume distribution centers. In robotics, you can do almost anything one time in a lab and make a video of it, she said. The real challenge is making it work 24/7, with a 99.99 percent reliability rate. Thats what customers want, and thats really hard to do. Her advice to the next generation of female roboticists is to learn to program and join a startup. Women have very difficult career paths in front of them, and they need to put themselves in environments where they have an opportunity to excel outside of regular corporate structures, she said.

Masciantonios work focuses on closing the skills gap in manufacturing. Using ARM-determined competency building blocks, skills profiles and career pathways, she is working to create a nationwide system that matches the competencies and roles required by manufacturers to the education programs and career pathways of the workforce. With ARMs system, students can determine where their strengths are and which capabilities they need to acquire for a successful career in manufacturing. The next step, to be delivered later this year, is to include capabilities to test and certify workers in robotic career pathways. We will create mechanisms for creatively observing and testing their mastery of the competency building blocks, according to ARMs Industry 4.0 Competency Framework, she said. This will facilitate matching between the job seeker and employer. It feels great knowing that the work we accomplish each day helps to strengthen the U.S. economy, serve our warfighters and bring our national manufacturing capabilities to higher levels of maturity, she said.

Caron has worked and studied in French, English and Czech. But impossible to automate doesnt seem to be in her lexicon. In fact, her teams most recent accomplishment was a breakthrough in inspection and removing tedious tasks that others thought were impossible to automate. That recent achievement may help in her teams goal of having all GE Aviation sites think of automation and robotics whenever they introduce a new part or process. That would accelerate their adoption and help maximize their potential impact. We are involved in enabling the sites to reliably and efficiently build and maintain engine components using the latest technology, and we are opening up new possibilities for engineering to refine their designs, she said. Having the sentiment that we are contributing to the advancement of the technology that has an impact on so many people is very rewarding. Looking ahead, she has great hope for AI. It will solve complex issues that are preventing automation and robotics from being suited for the challenges, she said.

Moneza is so fascinated by machines that she finds her thrills by scrutinizing the workings of her ride at Universal Studios rather than passively enjoying it. I try to look through the darkness and see what type of robot they are using and try to understand the rail and the projection systems that make the ride exciting, she said. It genuinely interests me, and I like seeing how things work. Is it any wonder, then, that she sees new opportunities for automation in the aerospace industry for repetitive tasks like drilling, painting, composite fabrication and ultrasonic inspection? She also wants to see more automation in data collection and interpretation. This will allow us to make informed decisions in a timely manner and make changes to design and processes where it is necessary, she said. Even with her fervor for automation, she sees a downside in the workers left behind when machines become automated. This is something that needs to be addressed so we can continue to compete and be at the cutting edge of manufacturing technology, she said.

As a girl, Keay did not envision a career in techeven though her family acquired their neighborhoods first PC. Now, she wants to see a thriving and sustainable robotics industry in Australia. This means not only supporting creators of robotics and robotics-related technologies but also supporting government and corporates to adopt robotics, she said. Robotics is part of the broader AI and technology sector and cannot succeed unless we have support for both AI and the tech sector more broadly. Six years ago, she set up the Australian Centre for Robotic Vision, the worlds first such center. She led efforts to create Australias first Robotics Roadmap in 2018 and last year established a firm to represent the industry sector. In 2019, she made it her mission to bring the Grace Hopper Celebration of Women in Computing to Australia as the Hopper Down Under. She now leads her Australian states AI hub.

Laudas career path demonstrates the value of internships. In high school, her math teacher encouraged her to become an engineer. But it wasnt until she apprenticed for a diesel engine maker that the assembly line and CNC machines sparked her interest. I went back to college a few years later. I was eager to become a manufacturing engineer, she said. During her career at agriculture machinery and equipment maker AGCO, she led a small team of engineers that created a tool to allow manufacturing engineers at plants in the U.S., Italy and Brazil to collaborate remotely in creating a Manufacturing Bill of Materials, the Bill of Process and the electronic work instructions for a new harvesting combine. Many steps within that tool are fully automated, and the concept reduced the planning efforts at the sites up to 80 percent, she said. The next big goal is to generate a true digital twin of our factories, by merging the virtual with the real operations, and collect smart data that can instantly be turned into higher productivity, safety and quality, she said.

When Greiner saw the original Star Wars movie in 1977, she was immediately smitten. The object of her interest was not Luke Skywalker or Han Solo; It was R2-D2. The girl who drew her inspiration from one of director George Lucas leading actor bots would grow up to be a pioneer in developing robots that can take over mundane or dangerous tasks from humans. She is now the CEO of a weed-controlling, solar-powered robot startup. She previously co-founded iRobot and co-designed its Roomba robotic vacuum cleaner. Roomba has captured about 20 percent of the North American vacuum market. Other Greiner accomplishmentsthe Packbot military robot and the persistent aerial reconnaissance and communications tethered drone systemhave been credited with saving the lives of soldiers and civilians alike. Greiner predicts we will see robots taking over home maintenance jobs, such as lawn mowing, leaf collecting and snow removal. I see continued adoption of robots, driving the virtuous cycle of invention, development and manufacture, she said.

Samsioe sees untapped potential in drones to help solve real-life challenges in natural disasters, disease outbreaks and other situations. For example, GLOBHEs network of crowddroning pilots provide aerial images that, once analyzed, help track mosquito-breeding sites in Malawi for malaria-mitigation efforts. An advanced unmanned aerial vehicle pilot with a masters degree in international disaster management, Samsioe cites as her companys most significant accomplishments its work with the United Nations in disease and natural disaster response and a recently signed contract with a global telecom company. The telecom-related work is to inspect communication towers, helping to keep communities connected as a result. Clearly owning her own success, she said, While many wait for the future to happen, I tend to create the future and get partners and clients onboard the journey. Her frustration is with progress that happens slowly. For example, shes pushing and waiting for beyond visual line of sight (BVLOS) drone flights to become legal at scale so drones truly can provide additional value for societies.

As an If/Then Ambassador for the American Association for the Advancement of Science, Elliott is featured in original entertainment and media content. She was overall runner-up in The Big Brain Theorys one-season run on the Discovery Channel. She was an on-camera science expert for the Science Channels Outrageous Acts of Science. And she was featured in a 2012 Wired article about a 3D-printing vending machine she and her team designed and configured while studying at Virginia Polytechnic Institute and State University. The machine, DreamVendor, included four MakerBot Thing-o-Matic printers that printed users uploaded design files. Of course, it being a first-generation design, there were several kinks in the system, Elliott said. However, it was a really fun project, and it proved the concept. She has since earned her doctorate in mechanical engineering and wants to bring automation and robotics to additive manufacturing. Even though the machines can build amazing things, there is still quite a lot of manual labor required after the part is built, she said.

For Ciprian, working in robotics means solving an evolving, thought-provoking engineering problem. It is always exciting because youre constantly doing something new, she said. The field is very dynamic, which makes it fun. It is also productive: She led the electrical design of an automated guided vehicle/industrial robot, which took a year from start to finish. Having fun at work is a bonus for her on top of being able to work in such a multidisciplinary field. For example, the power architecture is tightly involved with the mechanical loads of the robot, she said. Also, losses, emissions, temperature profiles and communication robustness are all interrelated. Moreover, it is a field where I can see our contributions to humankind happening in real time. The future of industry will include fleets of robots working collaboratively with humans, she believes, with AI playing a more involved role in tasking. Her advice to other female engineers is to be generous: Socialize your achievements and those of your female colleagues, she said.

Messina is rooted in measurement science and its role in driving research and engineeringand from there her vision for the future of robotics takes off. She wants to see the paradigm of robots as partners and assistants to humans extended and expanded versus seeing them as worker replacements. For this to happen, the world needs more intuitive interaction mechanisms for programming, coordination and communicating status, as well as greater intelligence and dexterity on the part of robots. Robots will no longer need to be taught every move, but rather can be instructed at a high level, similar to how humans who collaborate together agree on a joint task, she said. Similarly, robots will be able to execute their tasks either independently, able to detect changes or failures and recover from them on their own, or, if working jointly with humans, able to safely perform the tasks through observing the humans status, understanding verbal and non-verbal cues. The ultimate result will be the democratization of the use of robotics among enterprises, she said.

When she had two years left to finish her masters in engineering and technology management, Spiten began taking extra courses in entrepreneurship and robotics to figure out where she was headed career-wise. I found the [masters degree] curriculum to have too little hands-on training, she said. How would I know what to specialize in without trying out, and applying theory onto, real problems? She enrolled in a program that included an internship with a startup making underwater drone kits. She wrote her thesis on environmental ocean monitoring with the use of drones, and her career took shape. I started Blueye Robotics with three co-founders, to make the ocean available in new waysand to everyonedriven by the belief that you only take care of what you know and care about, she said. She is now advising the World Wildlife Fund on ocean plastics. As Sir David Attenborough once told me, she said, its not about whether we will survive, but what kind of world we will survive in.

Having earned a masters in manufacturing engineering, Williams has a wealth of book knowledge. But since at least her undergrad years, her education also included practical experience. It was some of that experience, specifically programming a robot in V++ to perform a simple shape-sorting task, that got Williams her first job at Boeing and ignited her passion for working with robotic and automation systems. My first job was programming and supporting a gantry robot doing automated fiber placement that used an Adept [Controls] control, she said. This was very exciting. Although her work focuses on controlling robots, shes also focused on people, including colleagues and the next generation of techies. She has participated in many leadership programs at Boeing, including the Employee Mentoring and Robotics Club. Outside of work, shes been a FIRST Robotics Competition volunteer for 10 years. Her message to girls in FIRST is to get involved early, stay active and embrace every learning opportunity. Its the hardest fun youll ever have, she said.

Breazeal once dreamed of being an astronaut. But she instead chose academia where she could continue to push the envelope in robotics and AI research. Her work is about autonomous robots as a ubiquitous, human-centered technology. I want to contribute the reality of a robot in every home that delivers meaningful value and delight to families, she said. Her biggest accomplishment to date is Jibo, the first social robot featured on the cover of Time. Jibo has since been acquired by another firm. There is tremendous opportunity for social robots as personalized, helpful companions in education, healthcare, aging and wellness. These are areas where emotional engagement, humanized social support and decision support in a personalized way could help address challenges of scalable, affordable, effective interventions for human users that can augment and extend what human professionals provide, she said.

Curry appeared headed for a career as a chemist, but as she worked in the lab, she realized fixing broken equipment was more to her liking than running analyses. So she returned to school for industrial electronics. I was accepted into an internship program at a pharmaceutical nutritional company, which is how I began my career in manufacturing, she said. I have been exposed to various types of automation, including robotics, and have enjoyed working in manufacturing for all of my career. At the pharmaceutical nutritional company, Curry and her team automated hard-wired relay circuitry to PLC systems. This helped improve troubleshooting and reduced repair time. It was amazing to be part of what was emerging technology at the time, she said. The fun didnt stop there. At Toyota, we have teams working on AI and augmented reality to help improve efficiency and eliminate redundant and non-value-added work, she said. I believe this type of technology can be coupled with robots to improve the efficiency of work for employees.

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Twenty women making their mark in robotics & automation - Advanced Manufacturing

WSU partners with Netherlands, Washington growers to improve orchard robotics, automation | WSU Insider | Washington State University – WSU News

In development at WSU's Center for Precision & Automated Agricultural Systems, robotic pruners, pickers, and other high-tech automated tools are among objectives of the newly announced international collaboration.

By Seth TruscottCollege of Agricultural, Human, and Natural Resource Sciences

Washington State University scientists are joining forces with researchers, fruit growers, and technology companies in the Netherlands and Washington State to solve major tree fruit challenges through orchard automation and robotics.

On Feb. 3, 2021, Andr-Denis Wright, dean of WSUs College of Agricultural, Human, and Natural Resource Sciences, joined representatives from the Washington Tree Fruit Research Commission, Washington State Department of Agriculture, Netherlands Ministry of Agriculture, Nature and Food Quality, Wageningen University & Research, and other partners in a virtual signing of the Fruit Orchard of the Future Collaboration Agreement.

The agreement helps establish a public-private consortium speeding new tree fruit technologies using an industry-developed concept called Next Fruit 4.0. Its part of a broader AgFoodTech collaboration between the Netherlands, California, and Washington State, which aims to get innovations to market faster and meet high-level goals in health, sustainability, and prosperity.

Automation and robotics could help tree fruit growers in the U.S. and the Netherlands address the challenges from an increasingly hard-to-find orchard labor force, as well as greater demand for sustainability, environmental health, and food safety.

Our College is proud and excited to partner with Washington tree fruit growers and our counterparts in the Netherlands in bringing new technologies to fruition, Wright said. Globally, producers face many of the same hurdles. The practical solutions being developed through this international coalition hold promise for more robust, healthy, and efficient industries in both countries.

Technology implementation into orchards has to accelerate to enable our states tree fruit industry to remain viable and prosper into the next decade, said Ines Hanrahan, Washington Tree Fruit Research Commission executive director.

We view international public-private partnerships, such as the Orchard of the Future collaboration, as essential building blocks to successfully develop orchards for the future, added Commission Chair Jim Doornink.

Additional partners to the agreement include the Dutch Fruit Growers Association, Dutch technological association FME, Oregon State University, and more than a dozen Dutch and U.S. companies and organizations.

The Fruit Orchard of the Future collaboration aims to connect universities in both nations for joint programs, create a network of local field labs and testing grounds, set up exchanges for education and research, connect companies and growers, and build access to funding.

Participating scientists will develop prototypes including a robot for pruning and harvesting pears, a precision sprayer for fruit crops, sensors and algorithms to collect data on apples and pears, and decision models for apples and pears based on collected data and expert knowledge.

The project draws on the knowledge and resources of WSU Extension, WSUs Tree Fruit Research & Extension Center (TFREC) at Wenatchee Wash., the Irrigated Agriculture Research and Extension Center (IAREC) and Center for Precision & Automated Agricultural Systems (CPAAS) at Prosser, Wash., and WSUs AgWeather Network.

WSU Associate Professor Manoj Karkee, a Prosser-based specialist in field robotics and automation, said the partnership will help build expertise and knowledge from a variety of perspectives, while making the team of scientists more competitive for U.S. and European research funding.

A range of geographic and environmental variations provided by the collaboration will also help the team maximize experimental window for specific crops and cropping systems, Karkee said. Such a wider infrastructure helps ensure that the tools, technologies and systems we develop will be versatile, reliable, and practically adoptable.

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WSU partners with Netherlands, Washington growers to improve orchard robotics, automation | WSU Insider | Washington State University - WSU News

NTHU Researchers Take Robotics to the Next Level – Yahoo Finance

TipRanks

Lets talk about risk and the big picture. Its an appropriate time, as the big risk presented by the COVID-19 pandemic is finally receding thanks to the ongoing vaccination program. COVID is leaving behind an economy that was forced into shutdown one year ago while in the midst of a great expansion, boosted by the deregulation policies. While the new Biden Administration is busy reversing many Trump policies, at least for now the economy is rebounding. And this brings us to risk. A time of economic growth and rebound is a forgiving time to move toward risk investments, as general economic growth tends to lift everything. Two strategists from JPMorgan have recently chimed in, promoting the view that the markets fundamentals are still sound, and that small- to mid-cap sector is going to keep rising. First, on the general conditions, quant strategist Dubravko Lakos-Bujas wrote, Although the recent technical selloff and short squeeze is receiving a lot of attention, we believe the positive macro setup, improving fundamentals and COVID-19 outlook, strength of the US consumer, as well as the reflation theme remain the bigger forces at play. Not only should this drive further equity upside, but it remains favorable for continued rotation into economic reopening Building on this, Eduardo Lecubarr, chief of the Small/Mid-Cap Strategy team, sees opportunity for investors now, especially in the smaller value stocks. We stick to our view that 2021 will be a stockpickers paradise with big money-making opportunities if you are willing to go against the grain Many macro indicators did fall in January but SMid-Caps and equities in general continued to edge higher, Lecubarr noted. And if you are prone to look at high-risk, small- to mid-cap stocks, youll find yourself drawn to penny stocks. The risk involved with these plays scares off the faint hearted as very real problems like weak fundamentals or overwhelming headwinds could be masked by the low share prices. So, how should investors approach a potential penny stock investment? By taking a cue from the analyst community. These experts bring in-depth knowledge of the industries they cover and substantial experience to the table. Bearing this in mind, we used TipRanks database to find two compelling penny stocks, according to Wall Street analysts. Both tickers boast a Strong Buy consensus rating and could climb over 200% higher in the year ahead. CNS Pharmaceuticals (CNSP) We will start with CNS Pharmaceuticals, a biotechnology company with a focus on the treatment of glioblastomas, a class of aggressive tumors that attack the braid and spinal cord. These cancers, while rare, are almost always terminal, and CNS is working a new therapy designed to more effectively cross the blood-brain barrier to attack glioblastoma. Berubicin, CNSs flagship drug candidate, is an anthracycline, a potent class of chemotherapy drugs derived from the Streptomyces bacteria strains, and used in the treatment of a wide variety of cancers. Berubicin is the first drug in this class to show promise against glioblastoma cancers. The drug candidate has completed its Phase 1 clinical trial, in which 44% of patients showed a clinical response. This number included one patient who showed a Durable Complete Response, defined as a demonstrated lack of detectable cancer. Following the success of the Phase 1 study, CNS applied for, and received, FDA approval of its Investigational New Drug application. This gives the company the go-ahead to conduct a Phase 2 study on adult patients, an important next step in the development of the drug. CNS plans to start the mid-stage trial in 1Q21. Based on the potential of the companys asset in glioblastoma, and with its share price at $2.22, several analysts believe that now is the time to buy. Among the bulls is Brooklines 5-star analyst Kumaraguru Raja who takes a bullish stance on CNSP shares. Until now, the inability of anthracyclines to cross the blood brain barrier prevented its use for treatment of brain cancers. Berubicin is the first anthracycline to cross the blood-brain barrier in adults and access brain tumors Berubicin has promising clinical data in a Phase 1 trial in recurrent glioblastoma (rGBM) and has Orphan drug designation for treatment of malignant gliomas from the FDA. We model approval of Berubicin for treatment of recurrent glioblastoma in 2025 based on the Phase 2 data with 55% probability of success for approval. We model peak sales of $533 million in 2032, Raja opined. CNS pipeline also includes WP1244 (novel DNA binding agent) that is 500x more potent than daunorubicin in inhibiting tumor cell proliferation is expected to enter the clinic in 2021 In vivo testing in orthotopic models of brain cancer showed high uptake of WP1244 by brain and subsequent antitumor activity, the analyst added. To this end, Raja rates CNSP a Buy, and his $10 price target implies room for a stunning 350% upside potential in the next 12 months. (To watch Rajas track record, click here) What does the rest of the Street have to say? 3 Buys and 1 Hold add up to a Strong Buy consensus rating. Given the $8.33 average price target, shares could climb ~275% in the year ahead. (See CNSP stock analysis on TipRanks) aTyr Pharma (LIFE) The next stock were looking at, aTyr Pharma, has a focus on inflammatory disease. Its leading drug candidate, ATYR1923, is a Neuropilin-2 (NRP2) agonist, working through the receptor proteins expressed by the NRP2 gene. These pathways are important for cardiovascular development and disease, and play a role in the inflammatory lung disease pulmonary sarcoidosis. In December, the company reported that the drug candidate had completed enrollment of 36 patients in a Phase 1b/2a clinical trial, testing the drug in the treatment of pulmonary sarcoidosis. Results of the current study are expected in 3Q21, and will inform further trials of ATYR1923, including against other forms of inflammatory lung disease. On a more immediate note, in early January the company announced top-line results of another Phase 2 clinical involving ATRY1923 this time in the treatment of patients hospitalized with severe respiratory complications from COVID-19. The results were positive, showing that a single dose of ATYR1923 (at 3 mg/kg) resulted in a 5.5-day median recovery time. Overall, of the patients dosed in this manner, 83% saw recovery in less than one week. Covering LIFE for Roth Capital, 5-star analyst Zegbeh Jallah noted, We like the risk profile here, with two shots on goal, and updated data details from the COVID study is expected in the coming months. Also announced recently, is that data from aTyr's Pulmonary Sarcoidosis program, will be reported in 3Q21 the success of either of these studies could result in a doubling or more of the market cap as these opportunities appear to barely be accounted for by investors. In line with his optimistic approach, Jallah gives LIFE shares a Buy rating and his $15 price target suggests an impressive 277% potential upside for the coming year. (To watch Jallahs track record, click here) Other analysts are on the same page. With 2 additional Buy ratings, the word on the Street is that LIFE is a Strong Buy. On top of this, the average price target is $13.33, suggesting robust growth of ~236% from the current price of $3.97. (See LIFE stock analysis on TipRanks) To find good ideas for penny stocks trading at attractive valuations, visit TipRanks Best Stocks to Buy, a newly launched tool that unites all of TipRanks equity insights. Disclaimer: The opinions expressed in this article are solely those of the featured analysts. The content is intended to be used for informational purposes only. It is very important to do your own analysis before making any investment.

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NTHU Researchers Take Robotics to the Next Level - Yahoo Finance

Students find virtual robotics opportunities during the pandemic – Wicked Local

Olivia Crisafi, Victor Han, Erin Crisafi and Camille Gammack| Special to the Concord Journal

In a traditional season, the GearTicks, Lincolns high school robotics team, meet nearly every day in their coachs basement: designing the robot in CAD software, programming the robot in Java and organizing outreach events with our community. This year, they have been forced to adapt to new methods of sharing ideas, working together and designing, all from home.

One solution they figured out was fairly simple. Three times a week, during their usual scheduled in-person meeting times, the GearTicks all join a Google Meet and discuss their ideas, progress and goals. Different parts of the robot come together at different team members' homes, and gradually their robot starts to resemble a robot built any other year.

The greater challenge came with switching community STEM events to a virtual setting. In previous years, the GearTicks held STEM nights, created and mentored FIRST teams of other levels and attended STEM events. With every traditional option indefinitely on hold, the GearTicks began to plan ways to make STEM accessible even during the pandemic.

One of our favorite outreach events every year is our Legopalooza, said Prerna, a junior on the team. We love the opportunity to share our love for STEM with the students and see the work theyve done throughout their season.''

The Lincoln Legopalooza has been a space to celebrate STEM learning for the towns FLL Explore robotics teams. In past years, the event has been held in the Brooks Gym, and Lego robotics teams from Lincoln and surrounding towns gather to present their Lego models to a group of reviewers, and win custom laser cut trophies. Just as the GearTicks have been able to move online, they have carried one of their favorite events online with them. This year, the GearTicks third annual Lincoln Legopalooza will be held virtually at the beginning of April. Teams will be able to virtually present their Lego models and participate in fun virtual activities!

The Lincoln Legopalooza is the culmination of the FLL Explore season. FLL Explore is a fun, easy-to-run program that introduces young children to the world of robotics. FLL Explore teams, composed of two to six kids ages 6 to 10, build a model out of Legos and program a moving component with simple block programming. A full, easy-to-understand curriculum is provided by FIRST, so the program can be run by a mentor (a parent, grandparent, etc) with no technical background. FIRST provides meeting guides for coaches and workbooks (engineering notebooks) for team members.

FLL Explore is a great opportunity for children to learn teamwork skills, build self-confidence, knowledge and life skills while having fun! This program is perfect to run as a family, with a group of close friends, or even virtually following in the GearTicks footsteps.

If your child is interested in FLL Explore, contact the GearTicks; there is still time to participate in FLL Explore and the Legopalooza! The GearTicks have experience with the FLL Explore program and have offered mentorship for anyone interested in starting a team. They can be contacted at hello@gearticks.com. More information about FLL Explore can be found at http://gearticks.com/fll-explore, https://youtu.be/Sq6w3jYVR8k and http://firstinspires.org/robotics/fll/explore/challenge-and-season.

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Students find virtual robotics opportunities during the pandemic - Wicked Local

A robotic dog that can learn points to the future – Yahoo Finance

The robotic dog had to learn how to recover from a fall

First the dog is kicked over, then pushed over, then shoved with a stick. Each time it gets back to its feet.

But don't rush to call the animal welfare authorities - it's a robotic dog undergoing training at Edinburgh University.

Alex Li is the Head of the Advanced Robotics Lab at the university and is among those leading the way in applying artificial intelligence (AI) to robotics.

The AI that controls his dog can cope with situations it has never seen before, like slippery surfaces or stairs.

And if you have ever watched internet footage of robots falling over, then you will appreciate how difficult that is to achieve.

So how did Mr Li and his team train their dog, called Jue-ying, or at least the AI that controls it?

Mr Li likens the process to the way young children are taught to play football. First, they will probably be taught individual skills like passing, dribbling and shooting.

Once they have mastered those basics then they might be let loose in simple matches, where they will learn how to put those skills together to win a game.

That way of learning, which is so natural to humans, is something that companies and researchers are trying to replicate in machines.

The robotic dog was initially taught two skill sets - fall recovery and trotting and walking, and each of those was developed in a different artificial neural network.

Neural networks rely on layers of thousands or millions of tiny connections between nodes, clusters of mathematical computations and can adapt as they are trained.

Those first two skill sets were used as the basis to create others - in total eight neural networks.

If those eight are the players in a football team then the final task was to create a coach - an AI which could bring their skills together to solve certain problems, like getting up from different positions and walking to a target.

The beauty and potential usefulness of the technique is that the robotic dog could be introduced to completely new scenarios, like navigating stairs or a rocky surface, and could make lightning-quick adjustments to stay upright and continue to its goal.

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It might not sound like much but, Mr Li hopes the method can be developed so that robots can complete much more complex tasks.

"Of course locomotion is cool, you can see the robots running around getting kicked in and getting up. But by the end of the day, you want the robot to do something useful for you," he says.

That will require the addition of features like vision systems and robotic hands, which adds many levels of complexity.

Mr Li's work builds on research by DeepMind Technologies, an artificial intelligence unit of Alphabet (the owners of Google) and based in London.

They have been leaders in a technique called deep reinforcement learning, by which neural networks learn from experience.

Using that technique, DeepMind has developed AI that has beaten human masters at chess and Go as well as becoming a top player at the computer game Starcraft.

Raia Hadsell is the director of the Robotics Laboratory at DeepMind. She says that combining AI and movement has been a different challenge.

"Your actions change the world," she points out. So unlike an AI that, for example, plays chess, a robot doing tasks around the home would have to cope with a shifting environment - imagine a robot doing the washing up and using the last of the washing up liquid.

More Technology of Business

But if this approach can be successfully developed the rewards could be enormous.

"I think that you will start to see robots being used more with humans in a safe way, because you'll be able to interact with these robots a little bit more. So they start to be more capable with doing tasks in the home," she says.

"But probably more significantly, used in parts of industry, agriculture, construction. Imagine being able to enable a farmer with a robot that has general purpose, and could imitate different types of behaviours."

However, don't think you can give up ironing just yet.

"I don't think this is in the next couple of years, but maybe, you know, the next 10 years," Ms Hadsell says.

Mr Li's robotic dog senses the world using feedback from its joints and motors - a relatively simple set of inputs. The outputs are just as simple - the dog walks or trots towards a target.

Nathan Lepora is professor of robotics and AI at the Bristol Robotics Laboratory. He has also been training an AI to move, but not a robotic dog, instead a robotic hand that has a sense of touch.

His AI can recognise objects using an artificial sense of touch. While still in its early days he thinks that training AI to sense its environment and move around is potentially very powerful.

"The AI opens up much more general ways of learning how to control rather than, if you like, handcrafting simple controllers. That's the difference. And that's what the deep reinforcement learning opens up.

"And deep reinforcement learning also gives the capability to use much more complex sensory inputs as well, for that control."

However, it's not going to be easy to train an AI that can control a humanoid robot, equipped with all sorts of different sensors.

"The level of mechanical engineering [involved in] building these robots has kind of gone past our capability to control them, because they're so complicated. And that's the problem that's getting cracked at the moment," says Prof Lepora.

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A robotic dog that can learn points to the future - Yahoo Finance

Company Aims to Produce Thousands of Humanoid Robots in 2021 – VOA Learning English

A Hong Kong-based robotics company says it plans to mass produce thousands of humanoid robots in 2021.

Hanson Robotics says four different humanoid models will start leaving factories during the first half of the year. One of the four is a robot named Sophia, which has received worldwide attention in recent years for looking and speaking in a very human-like way.

The companys founder and CEO, David Hanson, told Reuters the COVID-19 pandemic has increased demand for robots designed to assist and engage with humans. The world of COVID-19 is going to need more and more automation to keep people safe.

He noted that in the past, many of the companys robots were built by hand. But now, Hanson Robotics is beginning to expand its manufacturing operations.

Hanson said there are currently 24 models of Sophia, which will be used as a basis for creating many other kinds of models. While not providing an exact number, Hanson said the company aims to sell thousands of robots by the end of 2021.

The company says it plans to market its humanoid robots as helpful assistants in the healthcare field. For example, they can be used to take temperature readings to identify possible sickness or perform physical exercises with older people.

Such social robots are powered by machine learning methods and artificial intelligence (AI). They use cameras and sensors to recognize human faces and activities. The robots are built with tools to help them develop their own form of social and emotional intelligence over time.

During a demonstration at the companys lab, one of the Sophia models identified some of the activities it could assist humans with.

Social robots like me can help take care of the sick or elderly in many kinds of healthcare and medical uses.

Hanson said he believes robotic solutions to the pandemic are not limited to healthcare. He said the companys robots are so human-like, they could also serve the public in retail settings or in the airline industry.

The humanoids can be so useful during these times where people are terribly lonely and socially isolated, Hanson said.

I can help communicate, give therapy and provide social stimulation, even in difficult situations.

Johan Hoorn is a social robotics professor at Hong Kongs Polytechnic University. His research has included work on Sophia. He said that, although the technology is still developing, the pandemic could speed up relationships between robots and humans.

I can infer the pandemic will actually help us get robots earlier in the market because people (will) start to realize that there is no other way, Hoorn said.

Products from other major developers in the industry are helping fight the pandemic as well. SoftBank Robotics humanoid robot Pepper was deployed in Europe to identify people who were not wearing face coverings. In China, robotics company CloudMinds helped set up a robot-run field hospital for COVID-19 patients in Wuhan.

The use of robots was already on the rise before the pandemic. The International Federation of Robotics said in a report last year that worldwide sales of professional-service robots had jumped 32 percent between 2018 and 2019.

Im Bryan Lynn.

Reuters reported this story. Bryan Lynn adapted the report for Learning English. Ashley Thompson was the editor.

We want to hear from you. Write to us in the Comments section, and visit our Facebook page.

_______________________________________________________________

engage v. to get and keep someones attention, interest, etc.

automate v. to use machines and computers instead of people to do work

artificial intelligence n. the power of a machine to copy intelligent human behavior

retail n. the activity of selling products to the public in shops and on the internet

sensor n.

isolate v. to put or keep (someone or something) in a place or situation that is separate from others

therapy n. treatment for a physical or psychological condition

stimulation n. the act of making some feel interested and excited

infer v. to guess that something is true because of information that you have

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Company Aims to Produce Thousands of Humanoid Robots in 2021 - VOA Learning English