Monthly Archives: March 2022

ORLANDO, Fla., HIMSS, March 16, 2022 SambaNova SystemsandDeLorean Artificial Intelligenceannounce an AI solution to significantly advance renal care.Ascend Clinical, a leading dialysis testing laboratory, is the first customer to leverage the AI solution with deep learning models to classify, track and transition renal patients through disease states and provide recommended actions for treatment and care.

We are committed to providing world-class care to our patients, so our laboratories need the most innovative technology, said Paul F. Beyer, CEO of Ascend. Were looking forward to advancing our AI initiatives to provide a higher level of precision and improve our customers insights into their own data.

The DeLorean AI Medical Renal Model running on SambaNovas platform ingests both structured and unstructured data from internal sources (Ascend or dialysis centers) and external sources like medical records, lab results, previous claims and procedural data. The AI model predicts if a patient will be high- or low-risk and then recommends the next best action for a healthcare professional. This is the first solution on the market to accurately predict risk, provide next best actions, and empower nursing management to hold caregivers accountable for their quality of care.

The financial implications of the AI model are significant, including decreased operating costs and a better customer experience for patients, resulting in a STAR Rating increase, Quality Bonus Payments (QBP), increased CMS Pay 4 Quality (P4Q) and increased revenue. Most importantly, patients benefit from a better quality of life and an extended lifespan.

SambaNova and DeLoreans medical AI solution is revolutionary were bringing AI to an industry that truly needs it, said Severence MacLaughlin, Ph.D, CEO and founder at DeLorean Artificial Intelligence. The solution will provide Ascend customers with value-based care by providing them with precise classifications faster and timely treatment recommendations along their patient journey.

The DeLorean/SambaNova AI solution is subscription-based, can be hosted in the cloud or on-premises, and is extensible to other areas of the business. Labs across the country can deploy the solution for tracking states like diabetes, heart disease or cancer.

The DeLorean/SambaNova AI solution provides for improved value-based care with AI and has the ability to significantly improve patient outcomes, said Rodrigo Liang, CEO and co-founder of SambaNova Systems. Were pleased to work with DeLorean AI and Ascend to showcase how AI technology can truly revolutionize the renal care industry.

About DeLorean Artificial Intelligence

DeLorean Artificial Intelligence strives to be the most HUMAIN AI in the world through building sentient and semi-sentient systems of intelligence to address healthcare, business and economic challenges for large fortune 500 companies and governments. DeLorean AI currently offers services in the Healthcare, Life Sciences, and financial industries. We offer our services in the form of AI as as Service (AIaas). For more information, please visit us at deloreanai.com or contact us atfluxcapacitor@deloreanai.com. Follow DeLorean AI on LinkedIn.

About SambaNova Systems

AI is here. With SambaNova, customers are deploying the power of AI and deep learning in weeks rather than years to meet the demands of the AI-enabled world. SambaNovas flagship offering, Dataflow-as-a-ServiceTM, is a complete solution purpose-built for AI and deep learning that overcomes the limitations of legacy technology to power the large and complex models that enable customers to discover new opportunities, unlock new revenue and boost operational efficiency. Headquartered in Palo Alto, California, SambaNova Systems was founded in 2017 by industry luminaries, and hardware and software design experts from Sun/Oracle and Stanford University. Investors include SoftBank Vision Fund 2, funds and accounts managed by BlackRock, Intel Capital, GV, Walden International, Temasek, GIC, Redline Capital, Atlantic Bridge Ventures, Celesta, and several others. For more information, please visit us atsambanova.aior contact us atinfo@sambanova.ai.

Source: SambaNova Systems

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SambaNova and DeLorean Team Up to Deliver AI-Powered Renal Care - HPCwire

The rapid pace of change in our world shows no sign of slowing, and with this rapid change comes increased citizen and societal expectations. The digital age demands better speed, efficiency and simplicity in all areas of life. To rise to the occasion, governments have to be more tech savvy and more open-minded to digital transformation.

To do so, some governments are turning to new AI technologies. While the term AI might sound ambiguous, its potential and its applications are quite concrete. AI can improve mobility, advance education, protect food and water safety, decrease emissions, prevent crime, increase cross-border security and even save lives.

Lets look at some ways AI can improve and reshape government agency operations.

Citizens can also use these chatbots to report traffic accidents, infrastructure problems and other public safety hazards, or obtain information needed from the city. In turn, employees have more time to handle the important task of actually resolving problems. Best yet, citizens can more easily and quickly get questions and concerns resolved at any time of day.

The city of San Jose, Calif., is a prime example. The city created the My San Jose app, a mobile self-help platform and 311 system. More than 45,000 residents now use My San Jose to interface with their local government, giving officials a real-time dashboard of citizen requests. Staff have been able to prioritize resources for issues such as illegal dumping and abandoned vehicles, and redundant calls have been reduced by about 20 percent.

The city of Las Vegas, for example, invested in intelligent automation for vehicle traffic information. The city applied AI to its connected and autonomous vehicle initiatives in its downtown area. Lyft ran trials with 40 autonomous cars, and latest-model Audi cars can also receive data feeds from the city.

Governments can also turn to intelligent technologies to meet sustainability goals with things like smart waste management systems. Sensors at trash receptables can monitor waste levels in real time via a cloud-based dashboard. Once a container is filled, the system automatically triggers an alert for the citys garbage truck fleet to service the location. Instead of emptying trash containers at set times throughout the week, they are only emptied as needed.

Organizations can apply AI to tackle tasks like image recognition and document analysis; speech and language recognition for native and non-native language speakers; anomaly detection to flag mishaps and fraud; data labeling; forecasting critical business metrics from revenue to resource requirements and more and AIs potential will only continue to grow. For state and local organizations, AI will be key to finding more meaning in the troves of information already existing in their business applications, ultimately making processes more efficient and freeing up time and resources to focus on the citizen experience.

To take advantage of all that AI has to offer, public-sector organizations need a clear vision and concrete commitment from leadership to adopt AI in intelligent and transformative ways, and to ensure their workforce has the opportunity to learn the skills required to thrive in an AI-infused world.

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How AI Helps State and Local Governments Work Smarter - Government Technology

NEW YORK--(BUSINESS WIRE)--Hidden Door, a new technology studio at the intersection of machine learning and immersive entertainment, has launched with the ambitious goal of building the worlds first narrative multiverse a platform for creating and experiencing infinite stories together. Founded by AI entrepreneurs Hilary Mason and Matt Brandwein, the startup has closed a $2M pre-seed round led by Northzone, with participation from Makers Fund, Betaworks, Brooklyn Bridge Ventures, Homebrew, and angels Dan Sturman (CTO of Roblox) and Joshua Schacter (founder of del.icio.us).

Hidden Doors mission is to inspire creativity through play with AI, using natural language, vibrant art, and playful social storytelling experiences. The first product is a social game platform for playing stories with friends across a variety of shared creative universes.

In the game, friends team up to remix story worlds styled as interactive graphic novels. With the storytelling vibe of a tabletop roleplaying game including a playful AI narrator anyone can improvise endless adventures together with a host of responsively generated NPCs, items, and locations. These, in turn, can be collected, traded, and shared with friends to remix into new worlds and stories. In the future, the game will expand to include a marketplace for content from professional writers, artists, and other players.

We connect by telling stories together, said Hilary Mason, co-founder and CEO of Hidden Door. Its finally possible to build machines that make story itself computable, giving anyone the power to create stories in unique ways. The challenge is to design a system that can improvise alongside creative players while guiding diverse and safe story experiences, and we believe weve done just that.

Hidden Doors platform is built on extensible proprietary models of language and art, based on millions of stories. Through its APIs, developers can build online experiences for interactively improvising new stories together with groups of players, while adhering to rigorous content and safety standards. In the future, this will enable creators to automatically adapt existing works for this new medium.

Our investment in Hidden Door was driven by their vision for a dynamic and playful narrative platform that brings people together around the magic of telling stories, said Jay Chi, founding partner, Makers Fund. Hidden Door is well underway with a solution for what long seemed to be the impossible problem of creating an AI that can have realistic conversations with players and invent a narrative along the way. They are a standout team blending storytelling, machine learning and interactive entertainment. We cant wait to see how the community generates new ideas and stories to further the narrative.

When thinking about AI, we often frame technology and humanity as in opposition, said Wendy Xiao Schadeck, partner at Northzone. The reason we're so excited about Hidden Door is that Hilary and Matt are building a machine that actually empowers human collective creativity. That's not only powerful, it's also the multiverse we would want to live in.

At launch, players will be able to experience an initial collection of original playable worlds. The invite-only alpha will be available in early 2022 for players ages 9 and up who love role-playing games or improvising stories with friends. Sign up here to pre-register.

To follow Hidden Doors progress and receive early announcements, join the mailing list at http://www.hiddendoor.co and follow on Twitter at @hiddendoorco.

For press inquiries or interviews, please contact pr@hiddendoor.co.

About Hidden Door

Hidden Door is building the narrative multiverse at the intersection of machine learning and immersive entertainment. Launching in early 2022, our first product is a social game platform for playing stories with friends across a variety of shared creative universes. Our mission is to inspire creativity through play with AI, using natural language, vibrant art, and playful social storytelling experiences. Join our community at hiddendoor.co and follow our progress on Twitter at @hiddendoorco.

About Northzone

Northzone (northzone.com) is an early-stage venture capital fund built on experience spanning multiple economic and disruptive technology cycles and has over $1.7 billion under management. Founded in 1996 and with a team spread across three main hubs, New York, London and Stockholm, Northzone has to date raised nine funds and invested in more than 150 companies, including category-defining businesses like Spotify, iZettle, Avito, Kahoot!, Hopin, Klarna and Trustpilot.

About Makers Fund

Makers Fund is a global interactive entertainment venture capital firm focused on early-stage investments. Makers is dedicated to furthering growth and innovation in the interactive entertainment industry. With more than 80 portfolio companies to date, Makers provides founders strategic value that is deeply catered to companies across the value chain in the industry. For more information visit http://www.makersfund.com.

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Hidden Door Launches AI Game Platform to Build the Narrative Multiverse - Business Wire

After lockdowns hit stores, a lot of brands suddenly had to find ways to showcase their products in innovative and online-only methods, says analyst Moorut, who notes the momentum has continued. Even if stores are [now] open for business, itll take a while until consumers feel comfortable to visit and engage in the same way as before the pandemic. Anything that beauty brands can offer that can showcase products digitally is a good tool to have in a brands arsenal.

The integration of Skin Matchs technology can take between two weeks and two months, with plans to reduce the time further. The need to work to short time frames is imperative, Benz realised early on in the companys development. With the way we were originally structured, businesses needed a lot of tech capacity for them to integrate out solutions, so it often took up to a year. Thats not a sustainable business model, she says. We worked a lot on making our solutions super simple to integrate. That has been huge for our success.

The company has raised 350,000 to date, with a further 550,000 in funds currently being finalised. Skin Match plans to invest in product development, new hires to work on the client base and even smoother integration for brands including tools such as Shopify plugins. We want to really make it an automated process to use our tools especially to make it even more affordable and feasible for the younger startups.

The process of creating a flexible pricing structure has been challenging. Over the last year and a half weve invested in finding a product market fit, says Benz. A solution that works for smaller startups interested in Skin Match tools is to start charging a fee only when they actually use the tools. The usage based approach allows us to offer our solutions to startups. So, even if youre a brand that has just launched, you can already afford us.

The Skin Match focus on inclusivity goes beyond skin tones. The company recently began working with Look Fabulous Forever, a brand founded by Tricia Cusden (at the age of 65) that targets the 50+ age group. Skin Match is developing a foundation finder that takes into account ageing skins needs, such as the changes that occur during menopause or the drier skin that comes with ageing.

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The AI beauty startup that champions transparency and inclusion - Vogue Business

DUBLIN--(BUSINESS WIRE)--The "Global Call Center AI Market By Deployment Type, By End User, By Component, By Regional Outlook, Industry Analysis Report and Forecast, 2021-2027" report has been added to ResearchAndMarkets.com's offering.

The Global Call Center AI Market size is expected to reach $4.7 billion by 2027, rising at a market growth of 24.3% CAGR during the forecast period.

Call Center AI refers to the utilization of artificial intelligence across call centers with the purpose of providing human-like services to customers with robotic assistance. In call centers, one of the most common uses of AI is to provide in-depth data on call times and first resolution along with other metrics. These technologies can detect patterns and have access to client data, allowing them to determine if customers are having a good or bad experience.

According to a study conducted by Oracle, more than 80% of businesses are now using chatbots for customer service or aim to do so by 2020. Respondents cited 24-hour service, rapid responses to inquiries, and solutions to easy questions as some of the advantages of AI deployment.

There are some instances wherein dealing with customer inquiries in real-time might be a difficult task for a customer service representative, as customers may not understand the context of their inquiry. This has necessitated the development of better data analytics skills.

For example, with AI, previous customer interactions and chat data may be examined in seconds, and concise information about the customer can be supplied to the executive. Because of its large in-house data scientists and analysts, Amazon, in partnership with its subsidiary Amazon Web Services, developed specific algorithms aimed at evaluating consumer wants and offering accurate responses based on those needs. As a result, the global market is growing due to the requirement for increased data analysis skills.

Market Growth Factors:

Rising demand for enhanced customer experience

Customer experience must be maintained by providing accurate and timely feedback. Customer experience is critical to a company's long-term success. Call center as a service provides solutions that assist in providing appropriate customer support. By delivering real-time customer query-related data, the service assists agents in efficiently handling consumers. It displays information on clients and their buying history in pop-up windows. This saves time for the agent and allows them to rapidly resolve the customer's issue.

Advantages such as Scalability, Flexibility, and reduced cost

Traditional on-premises call centers are substantially more expensive than cloud-based call centers. Companies save money on overall expenses such as hardware installation and maintenance service charges by implementing AI solutions in a call center. Moreover, cloud-based services aid in the reduction of overhead costs, downtime, and power usage. It also offers a pay-per-use subscription model, which allows businesses to choose the plan that best suits their needs and budget. Web-based call centers are becoming more popular among businesses with minimal resources.

Marketing Restraining Factor:

Data security and privacy risks

The Call Center has a large amount of data that is vulnerable to malevolent attackers. Personal and confidential information, such as health information and credit card data, is stored in call centers. Internally and externally, there is a considerable risk of data breaches and hacking. Internally, for example, the agent could leak information or be bribed to provide it. This poses a significant risk of privacy violations. For example, in 2017, a data breach occurred at the LaunchPoint insurance company in the United States, when a corporate employee used his personal email to steal client healthcare information.

Scope of the Study

Market Segments Covered in the Report:

By Deployment Type

By End User

By Component

By Geography

Key Market Players

For more information about this report visit https://www.researchandmarkets.com/r/5v8c0e

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The Worldwide Call Center AI Industry Is Expected to Reach $4.7 Billion by 2027 - ResearchAndMarkets.com - Business Wire

The Research Brief is a short take about interesting academic work.

Governments and humanitarian groups can use machine learning algorithms and mobile phone data to get aid to those who need it most during a humanitarian crisis, we found in newly published research.

The simple idea behind this approach is that wealthy people use phones differently from poor people. Their phone calls and text messages follow different patterns, and they use different data plans, for example. Machine learning algorithms which are fancy tools for pattern recognition can be trained to recognize those differences and infer whether a given mobile subscriber is wealthy or poor.

As the COVID-19 pandemic spread in early 2020, our research team helped Togos Ministry of Digital Economy and GiveDirectly, a nonprofit that sends cash to people living in poverty, turn this insight into a new type of aid program.

First, we collected recent, reliable and representative data. Working on the ground with partners in Togo, we conducted 15,000 phone surveys to collect information on the living conditions of each household. After matching the survey responses to data from the mobile phone companies, we trained the machine learning algorithms to recognize the patterns of phone use that were characteristics of people living on less than $1.25 per day.

The next challenge was figuring out whether a system based on machine learning and phone data would be effective at getting money to the poorest people in the country. Our evaluation indicated that this new approach worked better than other options Togos government was considering.

For instance, focusing entirely on the poorest cantons which are analagous to U.S. counties would have delivered benefits to only 33% of the people living on less than US$1.25 a day. By contrast, the machine learning approach targeted 47% of that population.

We then partnered with Togos government, GiveDirectly and community leaders to design and pilot a cash transfer program based on this technology. In November 2020, the first beneficiaries were enrolled and paid. To date, the program has provided nearly $10 million to roughly 137,000 of the countrys poorest citizens.

Our work shows that data collected by mobile phone companies when analyzed with machine learning technology can help direct aid to those with the greatest need.

Even before the pandemic, over half of the West African nations 8.6 million people lived below the international poverty line. As COVID-19 slowed economic activity further, our surveys indicated that 54% of all Togolese were forced to miss meals each week.

The situation in Togo was not unique. The downturn resulting from the COVID-19 pandemic pushed millions of people into extreme poverty. In response, governments and charities launched several thousand new aid programs, providing benefits to over 1.5 billion people and families around the world.

But in the middle of a humanitarian crisis, governments struggle to figure out who needs help most urgently. Under ideal circumstances, those decisions would be based on comprehensive household surveys. But there was no way to gather this information in the middle of a pandemic.

Our work helps demonstrate how new sources of big data such as information gleaned from satellites and mobile phone networks can make it possible to target aid amid crisis conditions when more traditional sources of data are unavailable.

Were conducting follow-up research to assess how cash transfers affected recipients. Previous findings indicate that cash transfers can help increase food security and improve psychological well-being in normal times. We are assessing whether that aid has similar results during a crisis.

Its also essential to find ways to enroll and pay people without phones. In Togo, roughly 85% of households had at least one phone, and phones are frequently shared within families and communities. However, it is not clear how many people who needed humanitarian assistance in Togo didnt get it because of their lack of access to a mobile device.

In the future, systems that combine new methods that leverage machine learning and big data with traditional approaches based on surveys are bound to improve the targeting of humanitarian aid.

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How AI helped deliver cash aid to many of the poorest people in Togo - The Conversation Indonesia

Last week, two very exciting things happened. First, I boarded a plane for Barcelona to connect with so many customers and partners in person after such a long gap, which felt completely surreal. Secondly, I presented a new demo to a keen crowd of highly influential tech strategy shapers, industry analysts, and media.

Whether it was finally attending a physical event, meeting some of our partners for the first time in real life, the thrill of unveiling a new partnership, wearing a face mask while continuously talking for 12 hours straight, or a heady cocktail of all the above: something hit me. When you work in tech, you spend so much time looking forward to the future. But walking onto our showroom floor, I realized something about the now.

In the decade leading up to 2030, widespread commercial use of AI and 5G will redefine business and fast-track economic growth. Weve been talking about the potential of combining these technologies for a long time. By converging AI and 5G, literally thousands of enterprises (with a helping hand from application developers) will be able to rewrite their workplace rulebooks. Last week at MWC, I realized were one step closer. The first domino has fallen.

In this blog post, Ill share some of the exciting use cases were currently seeing and announce the latest brainchild of the Cloud RAN team at Ericsson and our partner NVIDIA, which we developed with help from our ecosystem collaborators HPE and Chooch.

If 5G provides an infinite smorgasbord of delicious innovations generating tons of rich data, AI is the head chef explaining how to eat it. Up to 100 times faster than 4G, 5G delivers ultra-low latency, greater bandwidth and ultra-reliable, highly secure connectivity creating a world of limitless connectivity and limitless opportunities. On the other hand, AI applications on 5G networks can unlock intelligence to drive innovation and decision-making and deliver superior experiences.

AI adoption in business is skyrocketing and according to PwC, it will generate a whopping USD 15.7 trillion for the global economy by 2030. Applied at the network edge, AI enables new use cases such as autonomous guided vehicles, video analytics, asset tracking, robotic factories and more. Throw Cloud RAN into the mix, and youve got yourself a real treat (but more on that later).

But getting it right is a collaboration game. Communication service providers, telecom vendors, device manufacturers, AI application developers, cloud infrastructure providers, and hardware vendors need to innovate together across the full stack of components needed for 5G (and beyond) to deliver on the promise to transform enterprise. And this powerful new ecosystem is already creating win-win-wins for everyone involved.

Ericsson and NVIDIA, inventor of the Graphics Processing Unit (GPU) and leading AI provider, are partnering in the AI on 5G space to explore flexible, efficient, and secure AI enterprise applications over 5G networks.

One of the key use cases for this concept and what our demo last week was based on is intelligent video analytics. Intelligent video analytics allows businesses to leverage video feed data to make powerful business decisions and optimize processes. AI-powered video software detects and identifies different objects in a video and classifies them to enable intelligent video analysis, such as search, filtering, alerts, and data aggregation and visualization.

Examples of whats possible with intelligent video analytics include:

Video analytics solutions have seen significant growth lately thanks to their ability to provide invaluable business insights, and its no surprise. The possibilities that this technology unlocks for enterprises are endless, and together, I'm excited to say that Ericsson and NVIDIA are ready to help our communication service providers (CSPs) and their enterprise customers to explore them.

The Ericsson-NVIDIA concept we presented at MWC delivers AI applications at the edge of a high-performance 5G Cloud RAN, allowing for data to be processed on-premise to provide real-time decisions and alerts. Running AI and 5G on the same Cloud infrastructure lowers total cost of ownership and pre-integration makes it much easier for enterprises to adopt AI on 5G solutions.

NVIDIAs AI-on-5G Platform opens a new technical playbook by delivering AI applications at the edge over a high-performance, software-defined 5G RAN. Its a homogenous scale-out platform (a rack of 1RU telecom-grade servers running both AI and 5G workloads) that is easily expandable from small to large deployments. Thanks to its modular architecture of AI, 5G, compute and orchestration/management stacks, it can support different customer configurations too.

NVIDIA also brings an entire suite of AI-enabled applications and partners to the table, creating many more opportunities for joint innovation (yes, Im back to looking forward now). But were not alone. This new end-to-end solution is bolstered by a much bigger, exciting ecosystem.

Hewlett Packard Enterprise (HPE) is collaborating with us to deliver RAN-optimized telecom servers that help service providers reduce complexity and accelerate innovation for 5G deployments at scale. Leading enterprise AI platform provider Chooch is also working closely with us to develop and deploy more world-class computer vision solutions.

Together, we can also easily expand the solution to enable other use cases, for example, drone traffic analytics, quality assurance detection, AI-powered autonomous stores, and remote connected vehicles.

For enterprises, running AI applications at the edge on a high-performance 5G RAN is essential for more efficient, intelligent operations. For service providers, deploying AI applications at the 5G edge creates new revenue sources: positioning AI to be one of the prime applications for 5G.

Judging by the nodding heads in the audience, it was clear that the potential of AI on 5G use cases struck a chord with my audience at MWC. But the main question from the audience was how far can this technology go? What other use cases are potentially possible?

My answer: there are many more on the horizon. Were excited about developing this concept further and continue to explore the potential of this technology with NVIDIA and our wide ecosystem of partners. I believe the universe of 5G and AI use cases is vast and colorful, and just like our own, the further we look, the more amazed we will be.

Join the conversation on how AI and 5G can bolster enterprise digitalization with Ericsson and NVIDIA.

Ericsson Cloud RAN passes GSMAs NESAS security audit

The four key components of Cloud RAN

What role will 5G and AI have in the mobile networks of the future?

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AI on 5G use cases for innovation-hungry businesses - Ericsson

PALO ALTO, Calif.--(BUSINESS WIRE)--In the fourth paragraph, second sentence of release dated March 15, 2022, should read: Toshinori Kujiraoka's (instead of Toshinori Kujuriraoka's).

The updated release reads:

JAPANS COMMITMENT TO AI SPURS FURTHER INTERNATIONAL EXPANSION BY SAMBANOVA SYSTEMS TO MEET THE COUNTRYS TECHNOLOGY PRIORITIES

AI Technology Leader Appoints Toshinori Kujiraoka as Country Sales Director of SambaNova Systems Japan, GK

SambaNova Systems, the company delivering the industrys only comprehensive software, hardware, and solutions platform to run AI and Deep Learning applications, announces further international expansion with the appointment of Toshinori Kujiraoka as country sales director for Japan. The appointment signals SambaNovas launch into the Japanese market and comes as Japans public and private sectors are heavily investing in AI.

The Japanese government set its AI strategy in 2019 and declared it would create the World's Most Advanced Digital Nation with an AI-ready infrastructure. The budget for 2022 includes a large investment in AI research and human resource development so the time is now for SambaNova to establish a presence in the region, said Toshinori Kujiraoka, Country Sales Director of SambaNova Systems Japan, GK. SambaNova is entering the Japanese market at the perfect time as our integrated AI software and hardware platform can directly support commercial enterprises and the Japanese government's AI strategy.

With more than 30 years of international sales experience, Toshinori Kujiraoka has been involved in numerous national projects at NEC, Sun Microsystems, Arm, ITS (Ministry of Land, Infrastructure, Transport and Tourism), Cyber Force (National Police Agency, Defense Agency), Human Genome Analysis (University of Tokyo), Fugaku Supercomputer, and the Next Generation Data Center Project. Toshinori Kujiraoka has spearheaded numerous market launches and contributed to sales totaling several hundred billion yen. Toshinori Kujiraoka will oversee business and sales development, operations and strategy within the region.

"AI is ushering in a massive change. We're excited to grow our presence in Japan to contribute to the countrys mission to be at the forefront of AI," said Rodrigo Liang, co-founder and CEO, SambaNova Systems. "Toshinori Kujiraoka's vast experience and strong track record of delivering customer success in the Japanese market makes him the right leader to scale our operations to support Japans AI strategy."

About SambaNovas Dataflow-as-a-Service

SambaNovas flagship offering, Dataflow-as-a-Service, is an extensible AI services platform, and enables organizations to jump-start AI initiatives overnight by augmenting existing capabilities and staffing with a simple subscription. The platform is powered by DataScale, an integrated software and hardware platform delivering unrivaled performance, accuracy, scale and ease of use built on SambaNovas Systems Reconfigurable Dataflow Architecture.

With AI becoming a business necessity in the global economy, customers need complete solutions that can run at scale in a financially viable way. With an integrated full-stack system, including best-in-class AI models, software and hardware, SambaNova provides the most expansive, accessible and impactful AI applications in the world.

About SambaNova Systems

AI is here. With SambaNova, customers are deploying the power of AI and deep learning in weeks rather than years to meet the demands of the AI-enabled world. SambaNovas flagship offering, Dataflow-as-a-Service, is a complete solution purpose-built for AI and deep learning that overcomes the limitations of legacy technology to power the large and complex models that enable customers to discover new opportunities, unlock new revenue and boost operational efficiency. Headquartered in Palo Alto, California, SambaNova Systems was founded in 2017 by industry luminaries, and hardware and software design experts from Sun/Oracle and Stanford University. Investors include SoftBank Vision Fund 2, funds and accounts managed by BlackRock, Intel Capital, GV, Walden International, Temasek, GIC, Redline Capital, Atlantic Bridge Ventures, Celesta, and several others. For more information, please visit us at sambanova.ai or contact us at info@sambanova.ai. Follow SambaNova Systems on LinkedIn.

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CORRECTING and REPLACING Japan's Commitment to AI Spurs Further International Expansion by SambaNova Systems to Meet the Country's Technology...

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Volvo Car USA has announced a new pilot program that will use artificial intelligence (AI) technology to thoroughly inspect the condition of tires, underbodies, and exterior panels and paint on used cars in a matter of seconds. The program will go through a trial phase on the U.S. East Coast, and is expected to expedite service calls and speed up vehicle trade-ins at the automakers service stations.

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An automated system can help resolve problems, Rick Bryant, vice-president for sales operations at Volvo Car USA. It shows the vehicles actual condition. The result is that customers will be able to see flaws such as a rusty tailpipe that they didnt know about. And theyll also know the retailer is upfront with them.

Developed in partnership with Israel-based UVeye, the technology uses machine learning and AI technology to combine three separate systems to quickly offer a comprehensive vehicle inspection.

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That companys Helios system is designed to scan for and detect frame damage, oil leaks, and more; its Artemis system ensures that all the wheels match, finds sidewall damage, measures tread depth, and more; and, lastly, its Atlas system provides a 360-degree scan of the exterior of the vehicle and detects dents, scratches, rust, and more.

With the ability to improve service wait times, create a digital health report, and assure Volvo customers of its safety standards, the company hopes that more than 280 of its dealers will eventually install the technology, if the pilot is successful.

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Volvo trialing AI that scans a car's condition in seconds - Driving

This quarterly update summarizes key federal legislative and regulatory developments in the first quarter of 2022 related to artificial intelligence (AI), the Internet of Things (IoT), connected and automated vehicles (CAVs), and data privacy, and highlights a few particularly notable developments in the States. In the first quarter of 2022, Congress and the Administration focused on required assessments and funding for AI, restrictions on targeted advertising using personal data collected from individuals and connected devices, creating rules to enhance CAV safety, and childrens privacy topics.

Artificial Intelligence

Members of Congress introduced legislation that would expand federal oversight over the use of AI in certain decision-making processes, as well as legislation that would increase resources for AI-related research and development. For example, this quarter, Senator Ron Wyden (D-OR) introduced the Algorithmic Accountability Act of 2022 (S. 3572), which would create a Federal Trade Commission (FTC) Bureau of Technology and would direct the FTC to promulgate regulations requiring covered entities to (1) perform impact assessments on deployments of any automated decision system (defined as any system, software, or process, including those derived from AI, the result of which serves as a basis for human judgment) used to make a critical decision (defined broadly as a decision or judgment that has any legal, material, or similarly significant effect on a consumers life related to the cost or availability of certain topics such as education, utilities and transportation, financial service, healthcare, or any other service that is established through rulemaking) and (2) submit summary reports of those impact assessments to the FTC. Only Democrats, however, have cosponsored the bill. In a closely divided Congress, it will remain difficult to move any legislation without bipartisan support. What that dynamic in mind, negotiations are likely to continue throughout this Congress in an attempt to reach a bipartisan agreement on the use of AI, particularly as it relates to advertisement targeting using algorithms.

Additionally, Congress has focused on efforts to increase AI funding. For example, the America COMPETES Act of 2022 (H.R. 4521), which passed the House this quarter, incorporates the AI-related provisions of several other bills introduced in the last year that aim to increase support for AI research. The House and the Senate are expected to conference on the COMPETES Act and the United States Innovation and Competition Act of 2021 (S. 1260), which will result in compromise legislation. These funding provisions are expected to be part of the final bill.

Internet of Things

Federal lawmakers have introduced legislation addressing the intersection between connected devices and targeted advertising. For example, Senator Cory Booker (D-NJ) and Representative Anna Eshoo (D-CA-18) introduced the Banning Surveillance Advertising Act of 2022 (S. 3520; H.R. 6416) this quarter, which would prohibit advertising facilitators (defined as a person that receives monetary consideration or any other thing of value to disseminate an advertisement, and collects or processes personal information to disseminate an advertisement) from using personal data to target advertisements to individuals or a connected device associated with the individual. The bill would provide the FTC with rulemaking authority, and the FTC would be empowered to enforce violations through its Section 5 authority.

Additionally, this quarter, federal regulators continued to engage with IoT-related policy across the federal government, particularly in the Federal Communications Commission (FCC) and the National Institute of Standards and Technology (NIST). For example, the FCC on January 10, 2022 announced a commitment of $361,037,156.16 million to support 802 schools and 49 libraries as part of its Emergency Connectivity Fund. The schools and libraries are approved to receive nearly 654,000 connected devices and more than 313,000 broadband connections. Relatedly, consistent with its obligations under Executive Order 14028 on Improving the Nations Cybersecurity, NIST published a whitepaper in coordination with the FTC and other agencies to initiate cybersecurity labeling pilot programs that will enable consumers to make informed decisions about IoT products. The whitepaper provides recommendations on consumer IoT product label criteria, label design and consumer education considerations, and conformity assessment considerations. Specifically, the whitepaper recommends coupling a binary label (a seal of approval type of label indicating a product has met a baseline standard) with additional information accessible online for interested consumers.

Connected and Autonomous Vehicles

The Department of Transportation (DOT) continued to engage on issues related to CAVs, particularly by (i) releasing a first-of-its-kind final rule amending the Federal Motor Vehicle Safety Standards (FMVSSs) to account for automated driving systems and (ii) seeking input on the projects and issues that should be considered by the Non-Traditional Emerging Transportation Technology (NETT) Council, a newly established entity under Section 25008 of the Infrastructure Investment and Jobs Act:

Federal lawmakers also engaged on CAV-related issues. The House Transportation and Infrastructure subcommittee held a hearing in early February, The Road Ahead for Automated Vehicles, in which experts, labor leaders, and industry representatives highlighted the need to increase consumer trust in CAVs and called for a national framework to facilitate the safe deployment of CAVs.

On February 28, 2022, the California Public Utilities Commission (CPUC) issued its first Drivered Deployment permits to Cruise LLC and Waymo LLC, allowing for passenger service in CAVs with a safety driver present. The CPUC uses the term drivered to refer to CAVs with safety drivers present, while those without safety drivers are referred to as driverless. For more information on this development, see this post from Inside Tech Media.

Data Privacy

Legislators and the Executive branch have expressed interest in childrens privacy this quarter. For example, President Bidens State of the Union address focused on childrens privacy online, specifically asking Congress to introduced legislation aimed at childrens privacy protections. On the Hill, The Kids Online Safety Act, (S. 3663) introduced by Senator Richard Blumenthal (D-CT) and co-sponsored by Senator Marsha Blackburn (R-TN), would create requirements for new safeguards, tools, and transparency requirements for minors online. Notably, the bill would create a duty to act in the best interests of a minor that uses the covered entitys (defined broadly as any commercial software or online application likely to be used by a minor) products or services. The bill would also require covered entities to conduct annual independent audits of the risk of harm to minors on their service and issue a public report based on its findings. For more information on this bill, see this post from Inside Privacy.

Additionally, the Utah legislature passed a comprehensive data privacy bill this quarter, which will go to the governor next for his signature. The bill provides consumers right access and deletion rights, as well as rights to opt-out of the sale of personal information, targeted advertising, and processing of sensitive data. If signed by the governor, the Attorney General will have authority to enforce the laws requirements. For more information on this bill, see this post from Inside Privacy.

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U.S. AI, IoT, CAV, and Privacy Legislative Update - First Quarter 2022 - Lexology