Virtual Event: GPT-3 and Its Implications for the M&E Industry

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

Nvidia and University of Florida Partner on AI Supercomputer

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

National Research Cloud Gains Big Tech, Legislator Support

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

Big Tech Companies Acquire Significant Number of AI Startups

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

HPA Tech Retreat: ETC Immersive Media Challenge Explained

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

AI Regulation’s First Testing Ground Is the European Union

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

AMD vs. Intel: The Computing Wars Ramp Up in Las Vegas

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

CES Panel Discusses the Industries That Are Integrating AI

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

CES 2020: ‘Robots for Good’ Advocates See Hopeful Future

A conference on “Robots for Good” sought to allay increased fears that robot overlords will soon rule the world and make humans redundant in the workforce. UC Berkeley professor Ken Goldberg, who heads a robotics lab there, spoke about his “radically hopeful vision of the future.” Robots will not replace humans, he said, but rather enable people to focus on what they do best: creativity, innovation, empathy and other inherent human traits. Goldberg also put the fear of robots in historical perspective. Continue reading CES 2020: ‘Robots for Good’ Advocates See Hopeful Future

Intel Doubles Down on AI with $2 Billion Habana Acquisition

Intel acquired Israel-based AI chip manufacturer Habana Labs for about $2 billion, to strengthen its offerings for data centers requiring such chips. The tech giant already stated that it expects to complete more than $3.5 billion in sales related to artificial intelligence, an increase of 20 percent from last year. The Habana purchase is just one of several that Intel has made in recent years in its efforts to grow new markets. Intel expects the AI chip market to grow to $25 billion by 2024, half from selling chips for data centers. Continue reading Intel Doubles Down on AI with $2 Billion Habana Acquisition

The Human Interface: What We Expect From AI at CES 2020

We’re not going to lie: the annual “heads up CES” piece on artificial intelligence is a major exercise in hit or miss. This is because technology rarely evolves on an annual time scale, and certainly not advanced technology like AI. Yet, here we are once again. Sure, 2019 was as fruitful as it gets in the AI research community. The raw debate between Neural Networks Extremists (those pushing for an “all neural nets all the time” approach to intelligence) and the Fanatical Symbolists (those advocating a more hybrid approach between knowledge bases, expert systems and neural nets) took an ugly “Mean Girl” turn, with two of the titans of the field (Gary Marcus and Yann LeCun) trading real insults on Twitter just a few days ago.  Continue reading The Human Interface: What We Expect From AI at CES 2020

Amazon Web Services Unveils AI Tools for Enterprise Clients

Amazon introduced Contact Lens for Amazon Connect and Amazon Kendra, two AI-enabled tools to help enterprise customers gain more information from data found in multiple sources. Both services, available for preview now on Amazon Web Services, assist cloud customers in incorporating natural language processing in a timely fashion. According to Amazon, Contact Lens for Amazon Connect and Amazon Kendra’s functionality are based on the integration of machine learning. Both services are plug-and-play. Continue reading Amazon Web Services Unveils AI Tools for Enterprise Clients

Microsoft Develops Data Dignity Project to Empower Users

Microsoft’s CTO office is reportedly creating a Data Dignity team to find ways to give users more control over their personal information — including the possibility of buying and selling it to third-parties. To set itself apart from other tech behemoths, Microsoft has been asserting its efforts for consumer privacy. But the company has faced its own privacy faux pas such as collecting data for Windows 10 and using human workers to transcribe Skype conversations. Data Dignity could help burnish its image. Continue reading Microsoft Develops Data Dignity Project to Empower Users

Cerebras Builds Enormous Chip to Advance Deep Learning

Los Altos, CA-based startup Cerebras, dedicated to advancing deep learning, has created a computer chip almost nine inches (22 centimeters) on each side — huge by the standards of today’s chips, which are typically the size of postage stamps or smaller. The company plans to offer this chip to tech companies to help them improve artificial intelligence at a faster clip. The Cerebras Wafer-Scale Engine (WSE), which took three years to develop, has impressive stats: 1.2 trillion transistors, 46,225 square millimeters, 18 gigabytes of on-chip memory and 400,000 processing cores. Continue reading Cerebras Builds Enormous Chip to Advance Deep Learning

SuperGLUE Is Benchmark For Language-Understanding AI

Researchers recently introduced a series of rigorous benchmark tasks that measure the performance of sophisticated language-understanding AI. Facebook AI Research with Google’s DeepMind, University of Washington and New York University introduced SuperGLUE last week, based on the idea that deep learning models for today’s conversational AI require greater challenges. SuperGLUE, which uses Google’s BERT representational model as a performance baseline, follows the 2018 introduction of GLUE (General Language Understanding Evaluation), and encourages the creation of models that can understand more nuanced, complex language. Continue reading SuperGLUE Is Benchmark For Language-Understanding AI

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