Category Archives: Artificial Intelligence

On April 1, nearly 30 artificial intelligence (AI) researchers and experts met virtually to discuss ways AI can help understand COVID-19 and potentially mitigate the disease and developing public health crisis.

COVID-19 and AI: A Virtual Conference, hosted by the Stanford Institute for Human-Centered Artificial Intelligence, brought together Stanford faculty across medicine, computer science, and humanities; politicians, startup founders, and researchers from universities across the United States.

In these trying times, I am especially inspired by the eagerness and diligence of scientists, clinicians, mathematicians, engineers, and social scientists around the world that are coming together to combat this pandemic, Fei-Fei Li, Denning Family Co-Director of Stanford HAI, told the live audience.

COVID-19: What is Working?

As the virus envelops the world, South Korea, China, Hong Kong, and Singapore have been able to drastically flatten their curves, says Michele Barry, Stanford University professor of medicine. To begin, these countries were quick to enact strong containment, social-distancing or quarantine rules, rigorous and free testing and tracking, and far-reaching communication strategies. Why else were they so successful? All were highly prepared to meet this health crisis as a result of prior experience confronting the 2002 SARS epidemic, she notes.

Jason Wang, director of Stanfords Center for Policy, Outcomes, and Prevention, pointed to Taiwan as another leader in this space. Taiwan focused on tracking health supplies, coordinating government agencies, regulating transportation, and amending laws for violating quarantine. Both Taiwan and South Korea implemented aggressive technologies, including thermal imaging. If your temperature reading was too high, for example, you were denied entry to an office building or restaurant.

In the United States, early focus has shifted from containment to quarantine and testing. Were paying attention to Korea, China, and Singapore and other places that are a month ahead of us, says U.S. Rep. Ami Bera. Serological testing used to diagnose the presence of antibodies in the blood will help us understand who has immunity and when we can reopen parts of the community, he adds.

The Fight Against Misinformation

Managing the scope of this global pandemic has been made more difficult and complicated by the spread of disinformation, misinformation, and conspiracy theories.

In times of crisis, University of Washington associate professor Kate Starbird explains, people come together to seek information and take psychological comfort. But sensemaking can also lead to false rumors. Disinformation false information thats spread intentionally causes confusion and even panic and can divert resources to the wrong areas, says Stanford Health Communication Initiative director Seema Yasmin. Both disinformation and misinformation (any information thats inaccurate) can breed xenophobia. Eram Alam, Harvard University assistant professor, notes a recent uptick in hate crimes and racist incidents as references to the Chinese virus or Wuhan virus peppered articles and government news conferences.

To maintain trust, says Starbird, political leaders must be mindful that their statements not contribute to the spread of misinformation or cast doubt on science; crisis communicators must be transparent about the rationale for their actions (while acknowledging that facts may change as we learn more).

Researchers Roles in Fighting COVID-19

Across disciplines, researchers are finding ways to fight COVID-19, by sharing data and building new tools. Infectious diseases data scientist Lucy Li of the Chan Zuckerberg Biohub says her organization is developing a tool to estimate unreported infections. At Stanford, associate professor of medicine Nigam Shah and colleagues are honing in on ways data science can respond both operationally (How many patients will our region have? How many ICU beds do we need?) and clinically (Whom do we test?), while pointing to critical areas for further research (What drugs can help us?). Harvard Medical School pediatrician John Brownstein and his team are tracking all coronavirus infections worldwide and partnering with organizations designing tools around the information together with the CDC, for example, they are working to analyze the efficacy of various social-distancing policies.

At Carnegie Mellon, statistics and machine learning associate professor Ryan Tibshiranis epidemiological forecasting team has shifted from studying flu to COVID-19 to predict short-term forecasts that will inform public health officials in making policy decisions. Meanwhile, Tina White, a Stanford mechanical engineering PhD candidate, designed an open-source app to track the spread of COVID-19, using anonymized Bluetooth data. HAI co-director Fei-Fei Lis research offers an AI approach to helping senior citizens stay in their homes: sensors and cameras could send valuable information about sleep or dietary patterns, for instance, to clinicians in a secure and ethical way.

Meanwhile, startups are playing a role. Curai co-founder Xavier Amatriain says his companys machine learning tools create personalized diagnostic assessments, while Anthony Goldblooms company, Kaggle, offers the machine-learning community ways to share data and review each others work.

Finding a Cure

Tools are essential weapons for tracking and better understanding the disease, but vaccines and drugs are the pathway to an eventual cure. Binbin Chen, Stanford genetics MD and PhD student, says vaccines are among the most powerful ways to curb a pandemic and prevent its recurrence. His team uses artificial intelligence to examine fragments of SARS-CoV-2 to determine how they might apply to COVID-19 vaccines. These tools, says Chen, can give us a better educated guess and increase our chances of finding an effective vaccine. Meanwhile, Stanford bioengineering research engineer Stefano Rensi is examining existing drugs that can be repurposed to combat the disease. He and his team use natural language processing, protein structure prediction, and biophysics to identify potential drugs. According to preliminary results, the team has classified several candidates, including one undergoing clinical testing in Japan.

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Artificial Intelligence and COVID-19: How Technology Can Understand, Track, and Improve Health Outcomes - Stanford University News

Proficient Market announces that it has a new study on Global Artificial Intelligence in Security Market. The 2020 study has 211 pages, 74 tables and 102 figures.

According to the report, global artificial intelligence in security market in 2018 stood at USD 5.08 billion and is expected to reach USD 15.9 billion by 2027 growing at a CAGR of 26.3% from 2019 to 2026.

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Artificial intelligence is basically a result of a software that tries to create a decision mechanism similar to human brains decision mechanism. AI in security generally provides an enticing proposition with its proactive threat mitigation capabilities which is required for constant supervision and adaptation to the multifaceted security vulnerabilities faced by modern digitalized economy. Also, artificial intelligence is playing a important role in cyber security by identifying threats as well as protecting organizations data from lethal cyber-attacks. It speeds up the process of noticing attacks and enables organizations to adopt predictive measures in combating cyber-crimes. Moreover, AI can be utilized to fight against various cyber threats including spear phishing, watering hole attack, webshell, ransomware, DDoS attacks, and remote exploitation, by identifying and preventing them from proliferating into the systems. Apart from that, AI based security systems can analyze even those threats that have not occurred in the past unlike traditional based security systems.

Global Artificial Intelligence in Security Market Key Players: The research study includes profiles of leading companies operating in the global artificial intelligence in security market. Key players profiled in the report include:BAE SystemsCiscoFortinetFireEyeCheck PointIBMRSA SecuritySymantecJuniper NetworkPalo Alto Networks

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Drivers for the Global Artificial Intelligence in Security Market: According to current market condition, one of the major factors that is helping the artificial intelligence-based security market to grow is the surge in number of connected devices across the world. Artificial Intelligence in a security solution is expected to increase precision and efficiency of the system to notice any potential threat in system. Surge in number of mobile devices has significantly caused the networks to become more vulnerable to cyberattacks, thus increasing the demand for AI based security solutions. Moreover, growing inclination of government to adopt smart city concept is expected to bolster the artificial intelligence-based security market growth. Also, growing awareness regarding various types of cyber threats such as phising, malware, denial, and password breaches are dissuading individuals to connect to any public Wi-Fi. This is increasing the uptake of personal Wi-Fi, which directly increases the demand for AI based security solutions. Growing number of e-commerce websites, mobile application, and payment getaways which accepts store credit card, debit card, and online transactions are likely to increase the demand for artificial intelligence-based security market.

Opportunities for the Global Artificial Intelligence in Security Market: AI and its applications allow the users to protect any system by providing alerts to them in real-time so that the risk can be mitigated. Also, with the data available within the organizations are being used to train these systems. With the implementation of machine learning with AI, the threats and malware can be proactively prevented rather than only be detected. This helps in creating a huge market opportunity for artificial intelligence in the security market during the forecasted period. Furthermore, increasing stringent laws and regulations imposed by the government on information and data security is anticipated to provide major growth opportunities for the market in the upcoming years.

Restrains for the Global Artificial Intelligence in Security Market: Due to the dearth of skilled AI professionals and lack of awareness is restraining about this field the market to grow during the forecast period.

Region Wise, Global Artificial Intelligence in Security Market Analysis: On the basis of region, global artificial intelligence in security market include North America, Europe, Asia Pacific, Latin America, Middle East and Africa. North America, held the leading position and is predicted to dominate in the upcoming years owing to surge in cyber-attack cases. Cyber-attacks particularly in the U.S. is considered to contribute the most. On the other hand, Asia Pacific is expected to exhibit a steady growth due to surge in adoption of machine learning in the region. North America region is followed by Asia pacific and Europe.

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Global Artificial Intelligence in Security Market: Product analysisMachine LearningNatural Language ProcessingOther

The Natural Language Processing segment holds the largest share in the artificial intelligence in security market. The deployment in technology has led NLP to play a significant role in facilitating text analytics and is also significantly contributing to the upgradation of progressive speech and text which will accelerate in the coming years.

Global Artificial Intelligence in Security Market: Application analysisBFSIGovernmentIT & TelecomHealthcareAerospace and DefenseOther

The IT & Telecommunication sector holds the largest market share for artificial intelligence in security market. The rising technological advancements such as the integration of machine learning, artificial intelligence, IoT and so on are highly enhancing the IT sector which is further leading to the rise of artificial intelligence in security market.

Global Artificial Intelligence in Security Market: Region analysisNorth America: U.S., Canada, MexicoEurope: U.K., France, Germany, Spain, Italy, Rest of EuropeAsia Pacific: China, Japan, South Korea, ASEAN, IndiaRest of Asia Pacific: Latin America, Brazil, Argentina, Colombia, Rest of L.A.Middle East and Africa: Turkey, GCC, UAE, South Africa, Rest of Middle East

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Global Artificial Intelligence in Security Market is Estimated to be Worth USD 5.08 billion in 2018 - PharmiWeb.com

LOS ANGELES, April 7, 2020 /PRNewswire/ -- Artificial Intelligence (AI) expert Neil Sahota says the COVID-19 pandemic is changing the way we live our lives, but AI can provide solutions in at least five key areas that will reduce the current impact from the disease and help prevent future disasters.

Business guru and master inventor Sahota, author of Own the AI Revolution (McGraw-Hill), says that with good data and careful modeling "AI actually can and is already helping reduce the impact from the disease on our lives."

Sahota says there are five key areas that the sophisticated computer solutions offered by AI should focus on:

"First, there is real concern that COVID-19 may return in upcoming Fall/Winter months or may even mutate and become a seasonal virus like influenza," Sahota says. "Thankfully, we can leverage artificial intelligence (AI) and generative design to help us. They can identify millions of potential COVID-19 mutations, and by applying environmental factors, can present healthcare researchers with the ten to twenty most likely mutations for the upcoming seasons. Armed with this knowledge (and virus genomics), the researchers could start identifying preventive measures, or perhaps even a 'flu shot,' before the viral outbreak occurs."

Second, AI can help manage the supply chain of equipment and people that have been disrupted by the virus. "Getting equipment and people to where they are needed the most has been such a challenge that reportedly the FDA has been leveraging Twitter to manage things," Sahota says. "We already have AI tools and deep analytic solutions that can be applied to predict COVID-19 hotspots, allowing us to route medical supplies, equipment and healthcare practitioners more effectively." Leveraging real-time micro-location technology like SmartPoint enables load balancing where people go for testing and treatment while minimizing wait times for test results.

Third, AI can help secure food production. "While we have a solid supply of food, there is concern about food production in just a few months. The FDA just released new guidelines on food production and safety to protect workers and people from COVID-19. However, there is real concern about the supply chain. Already, farmers are seeing challenges in getting enough workers to harvest food, and that's not something that can wait a week (or even a few days for certain fruits and vegetables.) Likewise, food handlers and distributors are worried about safety precautions to help them avoid disease, and everyone is concerned that food can get contaminated with COVID-19. Food exports from other countries are also a concern. Thankfully AI offers a host of agricultural technology solutions that can improve food production with fewer resources and people."

Fourth, AI can aid in generating jobs."About 10 million jobs were lost in just two weeks; worse, current estimates predict about 47 million jobs in the United States lost because of COVID-19, which is about 32% of the U.S. workforce.AI offers a short-term solution that can be scaled to a long-term fix, and, potentially, create better paying jobs for people. We have tools and infrastructure to teach people online the skills that they need to be community health workers, learn advanced skills and receive other training that would be a huge boon to getting jobs that would have immediate demand."

Fifth, AI can provide for mental health needs."COVID-19 has put a lot of stress on all of us," Sahota notes. "There's fear about getting ill, dying, losing jobs, not paying mortgages, cabin fever, and so forth. Even after we bounce back from COVID-19, there's real concern that many people will suffer from post-traumatic stress syndrome (PTSD), alcoholism, depression, etc. In a time of social distancing, we can't exactly see a therapist (at least in person). Thanks to the psychographic profiling capabilities of AI, we can create non-judgmental AI outlets to talk with and help maintain good mental health practices. Using AI solutions like Cyrano.ai and Woebot, people have these outlets to deal with their stress and get. Hopefully we will emerge from COVID-19 with more robust mental health and less addiction problems so that we can more effectively work on rebuilding our lives, jobs, businesses, and normal social interactions."

Story continues

AboutNeil Sahota:Neil Sahotais a futurist and leading expert on Artificial Intelligence (AI) and other next generation technologies. He is the author ofOwn the AI Revolution(McGraw Hill) and works with the United Nations on theAI for Goodinitiative. Sahota is also an IBM Master Inventor, former leader of the IBM Watson Group and professor at theUniversity of California/Irvine. His work spans multiple industries, including legal services, healthcare, life sciences, retail, travel, transportation, energy, utilities, automotive, telecommunications, media, and government.

View original content:http://www.prnewswire.com/news-releases/artificial-intelligence-expert-neil-sahota-says-ai-can-and-is-providing-solutions-to-covid-19-pandemic-in-five-key-areas-301036264.html

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Artificial Intelligence Expert Neil Sahota Says AI Can And Is Providing Solutions To COVID-19 Pandemic In Five Key Areas - Yahoo Finance

Increase in investment in AI technologies, rise in demand for analyzing and interpreting large amount of data, and surge in adoption of AI in emerging market are expected to propel the global AI market.

Rise in investment in AI technologies, increased demand for analyzing and interpreting large amount of data, and surge in customer satisfaction coupled with increase in adoption of reliable cloud application have boosted the growth of the global artificial intelligence (AI) market. However, dearth of trained and experienced staff hampers the market growth.

On the contrary, rise in adoption of AI in emerging markets and rapid development of smarter robots are expected to create lucrative opportunities in the near future.

The global artificial intelligence market was pegged at $4.06 billion in 2016 and is projected to reach $169.41 billion by 2025, registering a CAGR of 55.6% from 2016 to 2025.

The global AI market is divided on the basis of technology, industry vertical, and geography. Based on technology, the market is segmented into machine learning, natural language processing, image processing, and speech recognition.

The machine learning segment held the largest share in 2016, contributing more than half of the market and expected to maintain its dominance throughout the study period. Moreover, the segment is projected to register the fastest CAGR of 56.4% during the forecast period.

The market report provides an in-depth analysis of the major market players such asApple Inc., Alphabet (Google Inc.), IBM Corporation, Baidu, Microsoft Corporation, IPsoft, NVIDIA, MicroStrategy, Inc., Verint Systems Inc (Next IT Corp), and Qlik Technologies Inc.

Download Report:www.alliedmarketresearch.com/request-sample/1773

The global AI market is analyzed across various regions such as North America, Europe, Asia-Pacific, and LAMEA. The market across North America held the largest share in 2018, contributing nearly half of the market.

However, the market across Asia-Pacific is projected to manifest the fastest CAGR of 59.4% during the forecast period.

Based on industry vertical, the market is divided into media & advertising, BFSI, it & telecom, retail, healthcare, automotive & transportation, and others. The IT & telecom segment dominated the market in 2016, contributing more than one-fifth of the market.

Moreover, the segment is projected to register the fastest CAGR of 56.8% during the forecast period.

Report: http://www.alliedmarketresearch.com/1773

Top Impacting Factors Such as -

1.Increase in investment in AI technologies

2.Growth in demand for analyzing and interpreting large amounts of data

3.Increased customer satisfaction and increased adoption of reliable cloud applications

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Artificial Intelligence (AI) Market value is expected to hit $169411.8 million by 2025 according to a new research report - WhaTech Technology and...

Access to the online databases is free to qualified researchers and medical experts to help them identify a potential treatment for the novel coronavirus.

IBM Research is making multiple free resources available to help healthcare researchers, doctors, and scientists around the world accelerate COVID-19 drug discovery. The resources can help with gathering insights, to applying the latest virus genomic information and identifying potential targets for treatments, to creating new drug molecule candidates, the company said in a statement.Though some of the resources are still in exploratory stages, IBM is giving access to qualified researchers at no charge to aid the international scientific investigation of COVID-19.The announcement follows IBM's launch of the US COVID-19 High Performance Computing Consortium, which is harnessing massive computing power in the effort to help confront the coronavirus, the company said.

Healthcare agencies and governments around the world have quickly amassed medical and other relevant data about the pandemic. And, there are already vast troves of medical research that could prove relevant to COVID-19, IBM said."Yet, as with any large volume of disparate data sources, it is difficult to efficiently aggregate and analyze that data in ways that can yield scientific insights," the company said.SEE: How tech companies are fighting COVID-19 with AI, data and ingenuity (TechRepublic)

To help researchers access structured and unstructured data quickly, IBM has offered a cloud-based AI research resource that the company said has been trained on a corpus of thousands of scientific papers contained in the COVID-19 Open Research Dataset (CORD-19), prepared by the White House and a coalition of research groups, and licensed databases from the DrugBank, Clinicaltrials.gov and GenBank.

"This tool uses our advanced AI and allows researchers to pose specific queries to the collections of papers and to extract critical COVID-19 knowledge quickly," the company said. However, access to this resource will be granted only to qualified researchers, IBM said.

The traditional drug discovery pipeline relies on a library of compounds that are screened, improved, and tested to determine safety and efficacy, IBM noted.

"In dealing with new pathogens such as SARS-CoV-2, there is the potential to enhance the compound libraries with additional novel compounds," the company said. "To help address this need, IBM Research has recently created a new, AI-generative framework which can rapidly identify novel peptides, proteins, drug candidates and materials."

This AI technology has been applied against three COVID-19 targets to identify 3,000 new small molecules as potential COVID-19 therapeutic candidates, the company said. IBM is releasing these molecules under an open license, and researchers can study them via a new interactive molecular explorer tool to understand their characteristics and relationship to COVID-19 and identify candidates that might have desirable properties to be further pursued in drug development.To streamline efforts to identify new treatments for COVID-19, IBM said it is also making the IBM Functional Genomics Platform available for free for the duration of the pandemic."Built to discover the molecular features in viral and bacterial genomes, this cloud-based repository and research tool includes genes, proteins and other molecular targets from sequenced viral and bacterial organisms in one place with connections pre-computed to help accelerate discovery of molecular targets required for drug design, test development and treatment," IBM said.

Select IBM collaborators from government agencies, academic institutions and other organizations already use this platform for bacterial genomic study, according to IBM. Now, those working on COVID-19 can request the IBM Functional Genomics Platform interface to explore the genomic features of the virus.

Clinicians and healthcare professionals on the frontlines of care will also have free access to hundreds of pieces of evidence-based, curated COVID-19 and infectious disease content from IBM Micromedex and EBSCO DynaMed, the company said.

These two decision support solutions will give users access to drug and disease information in a single and comprehensive search, according to IBM. Clinicians can also provide patients with consumer-friendly education handouts with relevant, actionable medical information, the company said.IBM's Micromedex online reference databases provide medication information that is used by more than 4,500 hospitals and health systems worldwide, according to IBM."The scientific community is working hard to make important new discoveries relevant to the treatment of COVID-19, and we're hopeful that releasing these novel tools will help accelerate this global effort," the company said."This work also outlines our long-term vision for the future of accelerated discovery, where multi-disciplinary scientists and clinicians work together to rapidly and effectively create next generation therapeutics, aided by novel AI-powered technologies."

Learn the latest news and best practices about data science, big data analytics, and artificial intelligence. Delivered Mondays

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IBM Research releases a new set of cloud- and artificial intelligence-based COVID-19 resources - TechRepublic

Arecent study earlier this year in the journal Nature, which included researchers from Google Health London, demonstrated that artificial intelligence (AI) technology outperformed radiologists in diagnosing breast cancer on mammograms. This study is the latest to fuel ongoing speculation in the radiology industry that AI could potentially replace radiologists. However, this notion is simply sensational.

Consider the invention of autopilot. Despite its existence, passengers still rely on pilots, in conjunction with autopilot technology, to travel. Similarly, radiologists can combine their years of medical knowledge and personal patient relationships with AI technology to improve the patient and clinician experience. To examine this in greater detail, consider the scenarios in which AI is making, or can make, a positive impact.

Measuring a womans breast density is critical in assessing her risk for developing breast cancer, as women with very dense breasts are four to five times more likely to develop breast cancer than women with less dense breasts.1,2 However, as radiologists know, very dense breast tissue can create a masking effect on a traditional 2-D image, since the glandular tissue color matches that of cancer. As a result, a womans breast density classification can influence the type of breast screening exam she should get. For example, digital breast tomosynthesis (DBT) technology has proven as superior for all women, including those with dense breasts.

Categorizing density, though, can traditionally be a subjective process radiologists must manually view the breast images and make a determination, and in some cases two radiologists may disagree on a classification. This is where AI technology can make a positive impact. Through a collection of images in a database and consistent algorithms, AI technology can help unify breast density classification, especially for images teetering between a B and C BI-RADS score.

While AI technology may offer the potential to provide more consistent BI-RAD scores, the role of the radiologist is still very necessary its the radiologist who would know the patients full profile that could impact clinical care. For example, this can include other risk factors their patient may have, such as family history of breast cancer, to personal beliefs about various screening options and beyond all of which are external factors that could influence how to manage a particular patients journey of care.

In addition to helping assist with breast density classification, AI technology can also help improve workflow for radiologists which can, in turn, impact patient care. Although it is clinically proven to detect more invasive breast cancers, DBT technology produces a much larger amount of data and larger data files compared to 2-D mammography, creating workflow challenges for radiologists. However, AI technology now exists that can help reduce reading time for radiologists by identifying the critical parts of 3-D data worth preserving. The technology can then cut down on the number of images to read while maintaining image quality. The AI technology does not take over the radiologists entire role of reading the images and providing a diagnosis to patients it simply calls to their attention the higher risk images and cases that require urgent attention, allowing radiologists to prioritize cases in need of more serious and immediate scrutiny.

There are many more challenges that radiologists face today in which AI technology can potentially make an impact in the future. For example the length of time between a womans screening and the delivery of her results could use improvement, especially since that waiting period can elicit very high emotions. The important thing to realize for now, though, is that AI technology plays an important and positive role in radiology today, and the best outcomes will occur when radiologists and AI technology are not mutually exclusive but rather work in practice together.

Samir Parikh is the global vice president of research and development for Hologic. In this role, he is responsible for leading and driving innovative advanced solutions across the continuum of care to drive sustainable growth of the breast and skeletal health division.

References:

1.Boyd NF, Guo H, Martin LJ, et al. Mammographic density and the risk and detection of breast cancer. N Engl J Med. 356(3):227-36, 2007.

2. Yaghjyan L, Colditz GA, Collins LC, et al. Mammographic breast density and subsequent risk of breast cancer in postmenopausal women according to tumor characteristics. J Natl Cancer Inst. 103(15):1179-89, 2011.

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Leveraging Artificial Intelligence to Enhance the Radiologist and Patient Experience - Imaging Technology News

The Central Board of Secondary Education (CBSE) will introduce Design Thinking, Physical Activity Trainer and Artificial Intelligence as new subjects for class 11 from the 2020-21 academic year, officials have revealed.

To make the new generation more creative, innovative and physically fit, and to keep pace with global developments and requirements in the workplace, the board is introducing the three new subjects, said Biswajit Saha, Director Training and Skill Education, CBSE.

"While thinking is a skill that all humans possess, the 21st century's requirement is of critical thinking and problem-solving. Design Thinking is a systematic process of thinking that opens up the horizons of creativity and enables even the most conditioned thinkers to bring about new and innovative solutions to the problems at hand," he said.

According to Saha, the course on Physical Activity Trainer will not only help in developing skills of a trainer but also a life skill.

"Artificial Intelligence is also a simulation by machines of the unlimited thinking capacity of humans. Physical Activity is a must if the body and mind are to be kept healthy.

"With this view in mind, the course on Physical Activity Trainer has been prepared. It will not only help in developing the skill of a trainer, but will also become a life skill as it will imbibe the idea of keeping fit for life," he added.

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Artificial intelligence to be added to class 11 curriculum in India - Khaleej Times

How does Artificial Intelligence work?

Artificial Intelligence is a complex field with many components and methodologies used to achieve the final result an intelligent machine. AI was developed by studying the way the human brain thinks, learns and decides, then applying those biological mechanisms to computers.

As opposed to classical computing, where coders provide the exact inputs, outputs, and logic, artificial intelligence is based on providing a machine the inputs and a desired outcome, letting the machine develop its own path to achieve its set goal. This frequently allows computers to better optimize a situation than humans, such as optimizing supply chain logistics and streamlining financial processes.

There are four types of AI that differ in their complexity of abilities:

Artificial intelligence is used in virtually all businesses; in fact, you likely interact with it in some capacity on a daily basis. Chatbots, smart cars, IoT devices, healthcare, banking, and logistics all use artificial intelligence to provide a superior experience.

One AI that is quickly finding its way into most consumers homes is the voice assistant, such as Apples Siri, Amazons Alexa, Googles Assistant, and Microsofts Cortana. Once simply considered part of a smart speaker, AI-equipped voice assistants are now powerful tools deeply integrated across entire ecosystems of channels and devices to provide an almost human-like virtual assistant experience.

Dont worry we are still far from a Skynet-like scenario. AI is as safe as the technology it is built upon. But keep in mind that any device that uses AI is likely connected to the internet, and given that internet connected device security isnt perfect and we continue to see large company data breaches, there could be AI vulnerabilities if the devices are not properly secured.

Startups and legacy players alike are investing in AI technology. Some of the leaders include household names like:

As well as newcomers such as:

APEX Technologies was also ranked as the top artificial intelligence company in China last year.

You can read our full list of most innovative AI startups to learn more.

Artificial intelligence can help reduce human error, create more precise analytics, and turn data collecting devices into powerful diagnostic tools. One example of this is wearable devices such as smartwatches and fitness trackers, which put data in the hands of consumers to empower them to play a more active role managing their health.

Learn more about how tech startups are using AI to transform industries like digital health and transportation.

Then-Dartmouth College professor John McCarthy coined the term, artificial intelligence, and is widely known as the father of AI. in the summer of 1956, McCarthy, along with nine other scientists and mathematicians from Harvard, Bell Labs, and IBM, developed the concept of programming machines to use language and solve problems while improving over time.

McCarthy went on to teach at Stanford for nearly 40 years and received the Turing Award in 1971 for his work in AI. He passed away in 2011.

Open application programming interfaces (APIs) are publicly available governing requirements on how an application can communicate and interact. Open APIs provide developers access to proprietary software or web services so they can integrate them into their own programs. For example, you can create your own chatbot using this framework.

As you could imagine, artificial intelligence technology is evolving daily and Business Insider Intelligence keeping its finger on the pulse of how artificial intelligence will shape the future of a variety of industries, such as the Internet of Things (IoT), transportation and logistics, digital health, and multiple branches of fintech including insurtech and life insurance.

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Artificial Intelligence News: Latest Advancements in AI ...

You have probably heard that artificial intelligence could be used to do lots of impressive tasks and jobs. AI can help designers and artists make quick tweaks to visuals. AI can also help researchers identify fake images or connect touch and sense. AI is being used to program websites and apps by combining symbolic reasoning and deep learning. Basically, artificial intelligence goes beyond deep learning. Here are five reasons why AI is important to you.

It is no news that AI will replace repetitive jobs. It literally means that these kinds of jobs will be automated, like what robots are currently doing in a myriad of factories. Robots are rendering the humans that are supposed to do those tasks practically jobless.

And it goes further than that many white collar tasks in the fields of law, hospitality, marketing, healthcare, accounting, and others are adversely affected. The situation seems scary because scientists are just scratching the surface as extensive research and development of AI. AI is advancing rapidly (and it is more accessible to everybody).

Some believe that AI can create even more new jobs than ever before. According to this school of thought, AI will be the most significant job engine the world has ever seen. Artificial intelligence will eliminate low-skilled jobs and effectively create massive high-skilled job opportunities that will span all sectors of the economy.

For example, if AI becomes fully adapt to language translation, it will create a considerable demand for high-skilled human translators. If the costs of essential translations drop to nearly zero, this will encourage MORE companies that need this particular service to expand their business operations abroad.

To those who speak different languages than the community in which they reside, this help will inevitably create more work for high-skilled translators, boost more economic activities. As a result of this, and more people will be employed in these companies due to the increased workload.

Boosting international trade it one of the most significant benefits of our global times. So yes, AI will eliminate some jobs, but it will create many, many more.

AI can be used extensively in the healthcare industry. It is applicable in automated operations, predictive diagnostics, preventive interventions, precision surgery, and a host of other clinical operations. Some individuals predict that AI will completelyreshape the healthcare landscape for the better.

And here are some of the applications of artificial intelligence in healthcare:

AI is also used in the agriculture industry extensively. Robots can be used to plant seeds, fertilized crops and administer pesticides, among a lot of other uses. Farmers can use a drone to monitor the cultivation of crops and also collect data for analysis.

The value-add data will be used to increase the final output. How? The data collected is analyzed by AI on such variables as crop health and soil conditions, boosting final production, and it can also be used in harvesting, especially for crops that are difficult to gather.

AI is changing the workplace, and there are plenty of reasons to be optimistic. It is used to do lots of tedious and lengthy tasks, especially the low-skilled types of jobs that are labor-intensive. It means that employees will be retasked away from boring jobs and bring significant and positive change in the workplace.

For instance, artificial intelligence is used in the automotive industry to do repetitive tasks such as performing a routine operation in the assembly line, for example. Allowing a robot to care for well, robotic-tasks, has created a shift in the workforce.

Auto accidents are one of the most popular types of accidents that happen in America. It kills thousands of people annually. A whopping 95 percent of these accidents are caused byhuman error, meaning accidents are avoidable.

The number of accident cases will reduce as artificial intelligence is being introduced into the industry by the use of self-driving cars. On-going research in the auto industry is looking at ways AI can be used to improve traffic conditions.

Smart systems are currently in place in many cities that are used to analyze traffic lights at the intersections. Avoiding congestion leads to safer movements of vehicles, bicycles, and pedestrians.

Conclusion

Artificial intelligence is very useful in all industries as more research is being done to advance it. The advancements in this AI tech will be most useful if it is understood and trusted. An important part of it is that artificial intelligence and related technologies such as drones, robots, and autonomous vehicles can create around tens of millions of jobs over the next decade.

Having more jobs created not less will be great news for everyone. More jobs will help boost the GDP of the economy. Advancement in AI and its impressive computational power has already led to the concept of supercomputers and beyond.

Elena Randall is a Content Creator Who works for Top Software Companies, provides a top 10 list of top software development companies within the world. She is passionate about reading and writing.

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5 Reasons Why Artificial Intelligence Is Important To You

Intelligence is described as the ability to adapt to new environments and situations and being able to understand consequences and effects that your actions cause. This is something that all living creatures have in some way or another. Animals adapt to their environments and react to interference, plants do the same. Human intelligence, however, is in an entirely different ball park. With the uprise of technology and advancements constantly being made, it has now come time to question the use of artificial intelligence. Artificial intelligence, or AI, means giving non living things, such as computers and robots, the ability to think for themselves to an extent. What would this mean for the future? Would the economy, society, and the world as we know it change for the better or worse?

No BreaksOne of the biggest benefits to using machines with some level of artificial intelligence is that they could be utilized to do necessary jobs more efficiently. Machines do not need to take breaks in the way that humans do. They do not need to sleep, eat, or use the restroom. This would allow businesses to produce goods twenty four hours a day, 365 days a year.

Inhumane CircumstancesArtificial intelligence has allowed many avenues in research and exploration to develop and advance that would not have if it did not exist. This is especially true with space exploration. The satellites and rovers that are being sent in to space all of the time can stay there forever, and continue to reach further and further out into our solar system, giving us a much better understanding of what lays in the beyond.

No Emotional BarriersIntelligent machines do not have emotions. This is greatly beneficial because nothing interferes with their ability to perform the task they were designed to do. This is completely untrue with humans, many people find it difficult to work under very stressful conditions or during times of trauma.

Cost EfficientMachines do not need to receive a paycheck every month. While they are quite costly to maintain and power, this cost is greatly less than what an entire company full of human employees would have to be paid. The costs are also minimized and controlled.

Job LossWith the introduction of machines that can complete humans jobs quicker, more accurate, and cheaper, the rate of jobs lost is climbing. Ever since the introduction of factory machines people have been losing jobs to technologies.

Personal ConnectionsAnother large concern to think about when it comes to artificial intelligence is their lack of compassion and sympathy. If these robots are introduced into fields such as healthcare, how can we ensure the patients and customers comfort? Sure, they can be programmed to care, but it is not genuine.

Loss of InformationWe have seen it time and time again, and probably even experienced it once or twice, information being lost due to machine damages. The majority of our documents, videos and images are all stored on computers, phones, and other forms of technology. Many things can cause this information to be lost in an instant, and also non retrievable. This could pose very large problems if artificial intelligence is implemented in areas such as banks or healthcare.

Evolved?It may seem like a science fiction movie, but what would really happen if these artificially intelligent machines began to think for themselves, literally? It could pose major security risks, but it sure does make a great story line.

Technology and advancements in this field are happening, and they are happening very fast. It is something that we cannot and will not stop, so it is best to embrace the changing world we live in and take advantage of all of the incredible things that we have access to.

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Pros and Cons of Artificial Intelligence - HRF