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

Intel Debuts 64-Chip Neuromorphic System for AI Algorithms

Intel, which is in development on its Loihi “neuromorphic” deep-learning chips, just debuted Pohoiki Beach, code name for a new system comprised of 64 Loihi chips and eight million “neurons.” Loihi’s neuromorphism denotes the fact that it is modeled after the human brain, and Pohoiki Beach is capable of running AI algorithms up to 1,000 faster and 10,000 times more efficiently than the typical CPU. Applications could include everything from autonomous vehicles to electronic robot skin and prosthetic limbs. Continue reading Intel Debuts 64-Chip Neuromorphic System for AI Algorithms

Amazon’s AI-Enabled StyleSnap Is Ideal for Fashion Market

Amazon, which launched its new StyleSnap feature to select iOS and Android users in April, will soon make the in-app tool widely available, said company worldwide consumer head Jeff Wilke at the company’s re:MARS AI conference in Las Vegas. Users can reach StyleSnap via a shortcut found by tapping the camera icon in the Amazon app’s upper right-hand corner. Based on image recognition, the machine learning-enabled StyleSnap (and Pinterest Lens competitor) will offer similar items to any photo or screenshot uploaded by a user. The algorithms also incorporate computer vision and deep learning. Continue reading Amazon’s AI-Enabled StyleSnap Is Ideal for Fashion Market

Facebook Using Artificial Intelligence to Reduce Bias/Abuse

At this week’s annual Facebook F8 developer conference in San Jose, California, company CTO Mike Schroepfer discussed the progress being made by internal teams dedicated to reducing the spread of misinformation, hate speech, and abuse on the social platform using various artificial intelligence techniques. In the course of a single quarter, according to Schroepfer, Facebook takes down more than a billion “spammy” accounts, more than 700 million fake accounts, and tens of millions of items containing violent content or nudity.

Continue reading Facebook Using Artificial Intelligence to Reduce Bias/Abuse

AWS Tool Aims to Simplify the Creation of AI-Powered Apps

Amazon introduced AWS Deep Learning Containers, a collection of Docker images preinstalled with preferred deep learning frameworks, with the aim of making it more seamless to get AI-enabled apps on Amazon Web Services. At AWS, general manager of deep learning Dr. Matt Wood noted that the company has “done all the hard work of building, compiling, and generating, configuring, optimizing all of these frameworks,” taking that burden off of app developers. The container images are all “preconfigured and validated by Amazon.” Continue reading AWS Tool Aims to Simplify the Creation of AI-Powered Apps

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