The 10th Amazon Web Services re:Invent cloud computing conference showcased faster chips, better developer tools, smarter AI and two new automotive initiatives. AWS CEO Adam Selipsky’s keynote led with the company’s next-generation processor, the Arm-based Graviton3, and culminated with a peek under the hood at AWS Automotive and AWS IoT FleetWise. Collecting data and spotting trends are enterprise priorities, and AWS is doing its part to advance artificial intelligence and machine learning across that matrix in the cloud. “We know your data is on a journey — and all the stops on this journey matter,” Selipsky said. Continue reading AWS re:Invent Showcases Sizzling Chips, New Tools for Cars

Microsoft and Nvidia have trained what they describe as the most powerful AI-driven language model to date, the Megatron-Turing Natural Language Generation model (MT-NLG), which has “set the new standard for large-scale language models in both model scale and quality,” the firms say. As the successor to the companies’ Turing NLG 17B and Megatron-LM, the new MT-NLG has 530 billion parameters, or “3x the number of parameters compared to the existing largest model of this type” and demonstrates unmatched accuracy in a broad set of natural language tasks. Continue reading Microsoft and Nvidia Debut World’s Largest Language Model

Deep learning requires a complicated neural network composed of computers wired together into clusters at data centers, with cross-chip communication using a lot of energy and slowing down the process. Cerebras has a different approach. Instead of making chips by printing dozens of them onto a large silicon wafer and then cutting them out and wiring them to each other, it is making the largest computer chip in the world, the size of a dinner plate. Texas Instruments tried this approach in the 1960s but ran into problems. Continue reading Cerebras Chip Tech to Advance Neural Networks, AI Models

Google revealed its work on a new AI-enabled Internet search tool dubbed MUM (Multitask Unified Model), which can “read” the nuances globally of human language. The company says that users will be able to find information more readily and be able to ask abstract questions. MUM is not yet publicly available but Google independently used it for a COVID-19 related project. Vice president of search Pandu Nayak and a colleague designed an “experience” that gave in-depth information on vaccines when users searched for them. Continue reading Google AI-Enabled MUM Aims to Reinvent, Empower Search

At Facebook’s annual F8 developer conference, chief executive Mark Zuckerberg stated that the company would “refocus” on the developer community by spotlighting technologies that “enable developers and businesses to build and grow” on its platforms. The company announced, for example, that the Messenger API for Instagram is now available to all developers. It’s also adding third-party tools to its Facebook Business Suite, which was launched last year. Going forward, PyTorch will be Facebook’s default AI platform.

Continue reading Facebook F8 Event Highlights Tools for Developer Community

IBM’s AI research unit debuted Project CodeNet, a dataset to develop machine learning models for software programming. The name is a take-off on ImageNet, the influential dataset of photos that pushed the development of computer vision and deep learning. Creating “AI for code” systems has been challenging since software developers are constantly discovering new problems and exploring different solutions. IBM researchers have taken that into consideration in developing a multi-purpose dataset for Project CodeNet. Continue reading IBM Project CodeNet Employs AI Tools to Program Software

Microsoft is on track to acquire Nuance Communications, an AI and speech recognition software company, for about $16 billion. The company intends to expand its offerings in medical computing; Nuance already has speech and text data related to healthcare, an established customer base and the transcription tool Dragon. According to Microsoft, the purchase will “double the size of the healthcare market where it competed to almost $500 billion.” With the purchase, Microsoft could also develop advanced AI solutions for the workplace across numerous industries. Microsoft’s last big purchase was LinkedIn, for $26.2 billion in 2015.  Continue reading Microsoft to Buy AI and Speech Recognition Provider Nuance

To fully examine the inner workings and potential impact of deep learning language model GPT-3 on media, ETC’s project on AI & Neuroscience in Media is hosting a virtual event on November 10 from 11:00 am to 12:15 pm. RSVP here to join moderator Yves Bergquist of ETC@USC and presenter Dr. Mark Riedl of Georgia Tech as they present, “Machines That Can Write: A Deep Look at GPT-3 and its Implications for the Industry.” The launch last June of OpenAI’s GPT-3, a language model that uses deep learning to generate human-like text, has raised many questions in the creative community and the world at large.  Continue reading Virtual Event: GPT-3 and Its Implications for the M&E Industry

The University of Florida (UF) and Nvidia joined forces to enhance the former’s HiPerGator supercomputer with DGX SuperPOD architecture. Set to go online by early 2021, HiPerGator will deliver 700 petaflops (one quadrillion floating-point operations per second), making it the fastest academic AI supercomputer. UF and Nvidia said the HiPerGator will enable the application of AI to a range of studies, including “rising seas, aging populations, data security, personalized medicine, urban transportation and food insecurity.” Continue reading Nvidia and University of Florida Partner on AI Supercomputer

The National Research Cloud, which has bipartisan support in Congress, gained approval of several universities, including Stanford, Carnegie Mellon and Ohio State, and participation of Big Tech companies Amazon, Google and IBM. The project would give academics access to a tech companies’ cloud data centers and public data sets, encouraging growth in AI research. Although the Trump administration has cut funding to other kinds of research, it has proposed doubling its spending on AI by 2022. Continue reading National Research Cloud Gains Big Tech, Legislator Support

The Federal Trade Commission is investigating the purchase of hundreds of small startups made by Big Tech companies Amazon, Apple, Facebook, Google and Microsoft to determine if they have become too powerful. In 2019, a record-breaking 231 artificial intelligence startups were snapped up, which in many cases ended public availability of their products. According to CB Insights, that number compares to 42 AI startups acquired in 2014. Apple has been the No. 1 buyer of these startups since 2010. Continue reading Big Tech Companies Acquire Significant Number of AI Startups

ETC’s immersive media head Phil Lelyveld presented a session describing the organization’s third Immersive Media Challenge — this one with a 5G twist. “The challenge is to ask students and recent graduates to come up with an idea for an engaging experience that is impossible to build now that should be possible to build in three to five years,” he said. “It’s not a hackathon. If you can build it in three to five years, you should probably start building it now. If it’s longer than five years, it’s Fantasyland.” Continue reading HPA Tech Retreat: ETC Immersive Media Challenge Explained

Artificial intelligence and its potential to harm consumers has been much in the spotlight — now, more than ever, in Europe. Several Big Tech executives are in Europe, prior to heading to Davos for the annual World Economic Forum, and some, such as Microsoft president Brad Smith, are meeting with the European Union’s new competition chief Margrethe Vestager. Under the European Commission’s new president Ursula von der Leyen, new rules regulating free flow of data and competition are under consideration. Continue reading AI Regulation’s First Testing Ground Is the European Union

CES is not a computing show, but this year’s edition felt silicon-centric thanks to major announcements from Intel and AMD. Intel revealed more details about its next CPU, Tiger Lake, that boasts improved performance on graphics and AI. The company also offered a glimpse of its first discrete GPU. But the show arguably belonged to AMD, which continued its year-long renaissance with a keynote unveiling mobile CPUs, a new midrange GPU, and the world’s fastest workstation processor. Continue reading AMD vs. Intel: The Computing Wars Ramp Up in Las Vegas

Experts have made it clear that artificial intelligence will soon impact all industries, and at a CES panel on “AI — All Industry Integration,” moderated by Future PLC global editor-in-chief Bill Gannon, three experts teased out what that means for chatbots, computers, smartphones and automotive. All three noted some of the common challenges, including the need to change current business models, proactively provide mechanisms for users to guard their data and find ways to cope with the unforeseen going forward. Continue reading CES Panel Discusses the Industries That Are Integrating AI