Earlier this month, Chinese artificial intelligence (A.I.) researchers at the Beijing Academy of Artificial Intelligence (BAAI) unveiled Wu Dao 2.0, the world's biggest natural language processing (NLP) model. NLP is a branch of A.I. research that aims to give computers the ability to understand text and spoken words and respond to them in much the same way human beings can. Last year, the San Francisco–based nonprofit A.I. research laboratory OpenAI wowed the world when it released its GPT-3 (Generative Pre-trained Transformer 3) language model. GPT-3 is a 175 billion–parameter deep learning model trained on text datasets with hundreds of billions of words. A parameter is a calculation in a neural network that shapes the model's data by assigning to each chunk a greater or lesser weighting, thus providing the neural network a learned perspective on the data.
Xilinx has introduced its Kria programmable chips and boards for holding AI applications at the edge of the network. This should come in handy for visual applications like smarter cameras. San Jose, California-based Xilinx, which is in the process of being acquired by Advanced Micro Devices (AMD) for $35 billion, has a group of products dubbed the Kria portfolio of adaptive system-on-module offerings for AI at the edge. These are production-ready small form factor embedded boards that enable rapid deployment in edge-based applications. Coupled with a complete software stack and prebuilt, production-grade accelerated applications, Kria adaptive modules are a new method of bringing adaptive computing to AI and software developers.
With a wink and a wave, California-based start-up Qooore has entered fintech with its plans to offer artificial intelligence (AI) powered investment forecasts. The tradetech offers a subscription-based mobile app providing these "smart signals". Its website is a holding page for now and showing it's in early access mode. Qooore says its backend collects "hundreds" of human-made forecasts, market trends, parsed analyst websites and 250 more (unspecified) factors, to generate one balanced forecast. This is all based on its AI-fuelled scoring system and previous forecasts.
After years of failed attempts to curb surveillance technologies, Baltimore is close to enacting one of the nation's most stringent bans on facial recognition. But Baltimore's proposed ban would be very different from laws in San Francisco or Portland, Oregon: It would last for only one year, police would be exempt, and certain private uses of the tech would become illegal. City councilmember Kristerfer Burnett, who introduced the proposed ban, says it was shaped by the nuances of Baltimore, though critics complain it could unfairly penalize, or even jail, private citizens who use the tech. Last year, Burnett introduced a version of the bill that would have banned city use of facial recognition permanently. When that failed, he instead introduced this version, with a built-in one year "sunset" clause requiring council approval to be extended.
SDSC Director and Distinguished Professor of Physics Michael Norman is a member of the NAIRR Task Force. Director of the San Diego Supercomputer Center, and a Distinguished Professor of Physics at UC San Diego, Michael Norman has been appointed to the National Artificial Intelligence Research Resource (NAIRR) Task Force. This initiative announced recently by the Biden administration supports AI researchers' access to federal data in order to keep the U.S. at the forefront of emerging technology. "UC San Diego's faculty have a history of being called to contribute significantly to our nation's thought leadership on a variety of policy, economic, scientific and social issues," said UC San Diego Chancellor Pradeep K. Khosla. "Professor Norman's expertise in the computer simulation of astronomical phenomena using supercomputers, and the development of the numerical methods to carry them out, will provide the NAIRR taskforce first-hand knowledge to better understand how researchers collaboratively use data analysis and cloud computing in their fields." According to the National Artificial Intelligence Initiative Office, the NAIRR is envisioned as a shared computing and data infrastructure to provide AI researchers and students compute resources and high-quality data, along with appropriate educational tools and user support.
Mario Campos serves as President of IntelliSite LLC, a subsidiary company of EPIC IO. Alongside the Executive Leadership team, he oversees company operations, product design and innovation as well as overall company strategy. A serial entrepreneur, Mario guided the transition of QPCS LLC, a small California startup technology company into IntelliSite LLC, a market leading organization that delivers outcomes for its customers across IoT, Safety & Security, Computer Vision & Artificial Intelligence. Prior to founding QPCS in 2001, Mario worked as a software architect for John Deere Agri Services, where he was responsible for the development of web-based IoT software applications designed to provide food traceability in the Agribusiness world. Mario immigrated to the US from Costa Rica in 1997.
During his eight years as community alert and warning manager in Sonoma County, California, Sam Wallis has repeatedly watched wildfires roar through the cities and small towns he protects. Often with little warning, fires have razed homes and charred the area's picturesque hillsides, valleys and vineyards just north of San Francisco. Wallis had to evacuate his own home last year. And in 2017 his property was strewn with wind-blown debris from the deadly, 37,000-acre Tubbs Fire, one of the most destructive in California's history. "The Tubbs Fire was the seminal event, an absolutely massive and fast-moving fire that we had no way of tracking," Wallis says.
Artificial intelligence software has been sifting through the images of 21 tower-mounted cameras in Sonoma County, Calif., comparing them with historical photographs. If anything looks out of place, the system alerts the fire emergency center. The goal is to investigate potential fire starts earlier and get firefighters to them more quickly. In the weeks since the technology was fully activated, AI has bested 911 calls by as much as 10 minutes--a small time window but one that can mean the difference between a scorched smudge and a runaway wildfire. Similar early-detection technology is being tested in New Mexico, and scientists in Brazil have deployed an AI system that processes images from tower-mounted 360-degree cameras, alerting local officials about any apparent fires.
IRVINE, CA, June 17, 2021 (GLOBE NEWSWIRE) -- via NewMediaWire -- Vita Mobile Systems, Inc. (OTC PINK: VMSI), a technology company focused on digital imaging in mobile devices, collection and management of big data and development of artificial intelligence, today announced it has signed a non-binding letter of intent (LOI) to acquire a technology company with proprietary Artificial Intelligence software. The acquisition would see VMSI absorb a company with a proprietary Artificial Intelligence (AI) Resource Engine designed to analyze geolocation-based information and trends to address many of the economic and social concerns the world is facing as it transitions into a new post-pandemic society. "As we emerge from an unprecedented year, we are excited and optimistic for this acquisition and for the future on VMSI. The pandemic reshaped the world, its industries and how people interact and connect. One of the most significant changes the pandemic brought was a revolution in technology used to bring people together virtually. VMSI's products originally had a focus on events where people would come together physically, but the pandemic changed the way people interact and we changed with it. We re-aligned our technology suite to meet the changes and, today, VMSI is well positioned to capitalize on the need for immediate geolocation-based information that has been re-enhanced by the pandemic. During the past months, management has also worked on developing strategic partnerships and evaluating acquisition candidates that would complement our technology foundation," stated Sean Guerrero, CEO of Vita Mobile Systems.
Baidu has inked a partnership that will see the Chinese tech giant build 1,000 autonomous ride-hailing electric vehicles over the the next three years. Its fifth generation of robotaxis will be produced at 480,000 yuan ($74,987) each, which it touts is a third of the average cost of manufacturing a Level 4 self-driving vehicle. The announcement Thursday was an expansion of its existing partnership with local state-owned manufacturer BAIC Group, specifically, with the latter's electric vehicle unit Arcfox. Previously more widely known for its search engine, Baidu shifted gears in 2015 when it began developing autonomous vehicles, testing them on roads in Beijing and California, USA. Called Apollo Moon, its next generation of robotaxis would be built on the Arcfox Alpha-T, a fully electric five-seater SUV. The vehicle would be suited up with various sensors, including 13 cameras and five millimeter-wave radars, computing unit redundancy functions, and failure detector and degradable processing algorithms.