CES is always a data scientist’s nightmare, and this year is no different. Why? It’s simple. The hardware vision we’re being served (24/7 connection with everything) immediately triggers one critical question: Where will all this data go? How will this comically fragmented data be integrated in a way that creates value for your lives, our families, our organizations? The central conundrum of wearables and IoT, which we see nowhere here, is that the firehose of data created by these devices can only create value if merged together in a way that’s (a) central, (b) safe, and (c) relevant to our lives. Emphasis on (c), of course. Continue reading First Impressions of CES 2017: Where is All the Data Going?

Alphabet just spun off its research lab X’s autonomous vehicle project into a separate company named Waymo, to be led by chief executive John Krafcik. The move means the company believes its driverless car technology is nearing readiness for commercialization, due to advancements in sensor technology and breakthroughs in machine learning. Although Alphabet was an early leader in this field, the company has struggled to build a business around the technology, as Tesla, Uber and GM have moved forward. Alphabet is working with Fiat Chrysler on a ride-sharing service to launch next year. Continue reading Alphabet’s Waymo Driverless Vehicle Unit Partners With Fiat

Artificial Intelligence is finally here. After nearly 50 years in the doldrums of research, the science of designing “thinking machines” has jumped from academic literature to the lab, and even from the lab to the store. This is largely because its precursor, machine learning, has been enjoying a dramatic revival, thanks in part to the commoditization of sensors and large-scale compute architectures, the explosion of available data (necessary to train advanced machine learning architectures such as recurrent neural networks), and the always burning necessity for tech companies to find something new. We expect AI to have a significant presence at next month’s CES in Las Vegas. Continue reading CES: From Learning to Thinking Machines – the AI Explosion

Alphabet recently unveiled a system of tools called Conversation Actions, designed to help developers create chatbots that work with Google Assistant. The move is the latest by Google to compete in the emerging digital assistant space with companies such as Amazon, Apple, Microsoft and Facebook that are investing heavily in artificial intelligence. Google’s virtual assistant “is the strategic centerpiece of an effort to keep its lucrative Web search business relevant in an age of mobile devices and wearable gadgets,” reports Bloomberg. “Just like its search engine sent people to the right places on the Web, the company’s assistant should connect users to the most relevant and useful services.” Continue reading Google Tools Encourage Developers to Create More Chatbots

After being heavily criticized for the spread of fake news during the latest U.S. presidential election, Facebook is now looking at the possibility of using its research in artificial intelligence to gain control over the problem. Facebook has done research in AI since late 2013, when it hired its current director of artificial intelligence Yann LeCun. But the company is moving gingerly into the field, still trying to figure out the pitfalls of AI, and how to introduce it sensibly and responsibly. Continue reading Facebook Considers Artificial Intelligence to Battle Fake News

Extensive, in-depth coverage of CES 2017 by ETC@USC begins the week of December 5th with a series of preview stories exploring the top CE trends and technologies — and their significance to the entertainment industry. CES, the global gathering place for innovation and tech, is presented by the Consumer Technology Association (CTA) and runs January 5-8 in Las Vegas. CES 2017 marks the 50th anniversary of the conference. Since the first Consumer Electronics Show in 1967, more than 700,000 products have debuted in what CTA calls “the world’s gathering place for all who thrive on the business of consumer technologies.” Continue reading December Previews to Launch ETC’s Coverage of CES 2017

After weeks of accusation that fake news on Facebook, much of it favorable to Donald Trump, impacted the election, Facebook chairman/chief executive Mark Zuckerberg published a post describing ways the social media company might handle the issue. Among the potential steps are third-party verifications, improved automated detection tools and simpler ways for an ordinary user to flag suspicious content. Zuckerberg originally stated that the idea Facebook influenced the election was “a pretty crazy idea.” Continue reading Facebook’s Zuckerberg Lists Options for Managing Fake News

Google’s DeepMind division has improved the speed and performance of its machine learning system with technology whose attributes are similar to how animals are thought to dream. Dubbed “Unreal” (Unsupervised Reinforcement and Auxiliary Learning), the system learned to complete Labyrinth, a 3D maze, ten times faster than the best existing artificial intelligence software and can now play up to 87 percent of expert human players’ performance. DeepMind researchers will now be able to try out new ideas much more quickly. Continue reading Google DeepMind Speeds AI Learning with Computer Dreams

Facebook has acquired FacioMetrics, a startup spun off from Carnegie Mellon University. FacioMetrics’ IntraFace can detect seven different emotions on peoples’ faces. Since the purchase, FacioMetrics has been removed from the app stores. The acquisition is likely fueling Facebook’s goal to apply its artificial intelligence research to create “gesture-based controls, recognize facial expressions and perform related actions.” Facebook has said it will use FacioMetrics to enhance its augmented reality face masks. Continue reading Facebook Acquires FacioMetrics for Human Emotion Detection

During the U.S. presidential election, the preponderance of fake news on various social media sites got a lot of attention. Now, Google says it is updating its policies to ban fake-news websites from using AdSense, its ad-selling software. The company defined fake news as “pages that misrepresent, misstate, or conceal information about the publisher, the publisher’s content, or the [website’s] primary purpose.” Following in Google’s footsteps, Facebook similarly banned fake news sites from using its advertising network. Continue reading Google, Facebook Ban Fake News From Earning Ad Revenue

The media industry’s interest in artificial intelligence goes much deeper than simply portraying its implications in movies such as “Her” or “Ex Machina.” Recommendations and push notifications are just two examples of how media uses AI. YouTube has evolved its use of machine learning algorithms to improve its content recommendations. In the early days, the site used “collaborative filtering” to feed videos to viewers. Now the company uses much more complex models based on deep learning powered by neural networks. Continue reading Media Companies Leverage Data-Driven AI to Evolve, Prosper

Among Adobe’s updates to Creative Cloud applications is the debut of Project Felix, a 2D/3D compositing tool that allows the user to easily combine 2D and 3D objects and create a photorealistic scene. Photoshop CC now offers a universal search tool for searching Adobe Stock, and other workflow-related features. After Effects has a new 3D rendering engine that’s twenty times faster than before, and Premiere now offers better support for VR content and Character Animator. Adobe also previewed the Project Nimbus photo editor. Continue reading Adobe Introduces Extensive Updates for Creative Cloud Apps

In its Q3 results, Alphabet revealed that, of its Other Bets initiatives, two Google projects — the cloud and artificial intelligence — have proven to be the most successful; both are on track to expand in the next year. Amazon is still the leader in cloud services, with a 55 percent gain representing $3.2 billion, and Microsoft is another major technology company rivaling Google. But Alphabet has made it clear that it is doubling down on both cloud and AI, even as it retreats from Google Fiber Internet and Nest connected-home tech. Continue reading Cloud and Artificial Intelligence Become Alphabet’s Best Bets

Wired editor-in-chief Scott Dadich recently sat down with President Barack Obama and MIT Media Lab director Joi Ito in the White House to discuss the numerous possibilities and potential implications of artificial intelligence and machine learning. “It’s worth thinking about because it stretches our imaginations and gets us thinking about the issues of choice and free will that actually do have some significant applications for specialized AI,” said Obama. “If properly harnessed, it can generate enormous prosperity and opportunity. But it also has some downsides that we’re gonna have to figure out in terms of not eliminating jobs. It could increase inequality. It could suppress wages.” Continue reading President Obama and MIT Media Lab Director Talk Future of AI

Disavowing popular wisdom that it doesn’t pay to be too specific, Oculus chief scientist Michael Abrash delineated what virtual reality tech will look like in 2021 at the Oculus Connect 3 conference last week. With the caveat that he would be proved “wrong about some of the specifics,” Abrash described a high-end VR future that includes 4K x 4K resolution per eye and 140-degree field of view displays, foveated rendering, personalized audio encoding, and “augmented virtual reality.” Abrash was the final speaker in a keynote session that stretched past two hours. Continue reading Oculus Chief Scientist Predicts the Future of VR Platform Tech