Moore’s Law, which states that the number of transistors in a chip doubles approximately every two years, is sputtering to an end. As a result, an increasing number of companies are relying on specialized computing, which transforms software tasks into silicon chips rather than relying on CPUs. This key technology is behind two recent developments: Intel’s acquisition of Israeli startup Mobileye, which produces chips and software for autonomous vehicles, and Nvidia’s latest iteration of a system to speed up machine learning. Continue reading The Rise of Specialized Computing and New Era of Chip Design

Fifteen months after Pandora acquired Rdio’s key assets, the company is launching its anticipated $10-a-month on-demand music service. Pandora Premium, which begins rolling out in the U.S. today, offers access to tens of millions of songs and the ability to save tracks offline. While it still touts the playlisting engine powered by data and people that made its curation approach famous, the service is aiming to distinguish itself from other offerings such as Spotify, Apple Music and SoundCloud by focusing on personalization features, a new design and ease-of-use. Continue reading Pandora Premium Looks to Take On Spotify and Apple Music

Facebook unveiled new hardware for use in its data centers, designs for which will be made available to outside companies through its Open Compute Project. The announcements were made during this week’s OCP U.S. Summit in Santa Clara. One announcement centered on a new GPU server designed to better serve the company’s AI initiatives. Big Basin — successor to the company’s Big Sur high-performance compute platform — will help Facebook train machine learning models that are 30 percent larger than those running on current servers. Continue reading Facebook Introduces New Hardware for Use in Data Centers

Worldwide, people are watching more than 1 billion hours a day of YouTube videos, a number that threatens to topple the primacy of U.S. television viewing. That represents a 10-fold increase in YouTube viewership since 2012, said to be pegged, in part, to Google’s use of artificial intelligence to recommend videos. These personalized video line-ups keep people watching, and YouTube’s exponential growth of content — 400 hours of video uploaded each minute — means there’s always something new to watch. Continue reading At 1 Billion Video Hours Daily, YouTube May Topple TV Views

Google technology incubator Jigsaw has released software designed to help Web publishers moderate the unruly comments on their sites. The software is called Perspective and it is available free of charge to publishers that apply for access. Jigsaw used machine learning to help train Perspective to identify toxic comments. Each comment is assigned a score, so that human moderators or even readers can filter out responses that score above a certain toxicity level. Perspective is part of Jigsaw’s Conversation AI initiative. The team wants to help foster more civil discourse and eradicate Internet trolls.  Continue reading Google Develops AI That Can Detect Hateful Internet Speech

Grass Valley regional account manager Mark Chiolis moderated the HPA Tech Retreat 2017 version of an annual panel looking at the latest trends in remote, mobile, live productions. “Last year’s panelists focused on traditional remote, mobile, live,” said Chiolis. “This year we’re expanding the definition of what live and remote is.” NEP technical advisor George Hoover, focusing on the use of IP in live events, described a new remote production model in which only cameras, camera operators and audio capture are at the venue. Continue reading HPA Tech Retreat: Latest in Remote, Mobile, Live Productions

TheTake, a startup that helps viewers purchase the products that they see in movies and television shows, is now turning its image recognition technology into a business-to-business service. The company is selling the service to major studios and entertainment sites so that they can generate extra revenue from identifying marketable products and locations. TheTake built the technology by training an AI to look for matches from the company’s database of more than 10 million products. Continue reading TheTake Looks to Convert Product Recognition to B2B Service

The Ford Motor Company is extending its foray into self-driving car technology with a $1 billion investment in Argo AI, an artificial intelligence startup. The newly formed startup, led by former Google and Uber self-driving experts, will initially develop the technology for Ford before licensing it to other companies. The move is part of Ford’s strategy to rebrand itself as more than a car manufacturer. The billion-dollar investment will roll out over the next five years. Argo AI will become a subsidiary of Ford that operates out of Pittsburgh, one of the main hubs of autonomous driving research. Continue reading Ford Pursues Self-Driving Tech, Invests $1 Billion in AI Startup

Augmented reality company Magic Leap has operated in secrecy since its founding in 2010. Based in Florida, Magic Leap, valued at $4.5 billion, has raised almost $1.4 billion from Google, China’s Alibaba, Qualcomm, Andreessen Horowitz and Kleiner Perkins, among others. Rumors of its augmented reality headset have been rife, but the only product to be unveiled thus far was an AR app in 2011. Now, a public photo of a prototype has been released, offering possible details of what the company has been working on. Continue reading Leaked Photo Shows Magic Leap Augmented Reality Prototype

As artificial intelligence and machine learning become less expensive, their role is taking off in corporate America, and will soon extend from routine tasks to more complex, sophisticated decision-making. The neural network, for example, mimics the operations of the human brain, enabling AI to learn without extensive human intervention. Companies that are moving towards AI include AIG, which has shifted funds that would have gone to outsourced projects to AI, and aims to hire more programmers with AI skills. Continue reading Corporations Are Adopting AI, Startup Debuts AI-Based Video

Virtual assistants that serve as a new voice-activated hub to the connected smart home and our ecosystem of personal electronics have grabbed the spotlight at this year’s CES. Aided by advances in artificial intelligence software that enable improved speech interaction with devices, tech giants such as Amazon, Google, Microsoft and others are battling for dominance in the digital assistant space. These companies are looking beyond smartphones and PCs toward a world in which voice-based systems become a standard feature in TVs, cable boxes, home appliances and connected vehicles. If the headlines are any indication, it seems that Amazon’s Alexa has taken an early lead in this race. Continue reading Digital Assistants Grab Spotlight at CES, Alexa Leads the Pack

At CES last week, Emotech, a UK-based startup, introduced a desktop robotic assistant named Olly that develops a unique personality depending on individual users and their interactions with it. The doughnut-shaped, voice-controlled personal assistant is similar in function to the other smart lifestyle assistants. It will play you music or tell you the weather like Amazon’s Alexa, but the company hopes Olly’s personality will set it apart. The device has two cameras and a microphone array, allowing it to face the user, and will use a combination of AI techniques to decipher a user’s state of mind and respond accordingly. Continue reading Emotech Demos Olly: Your Lifestyle Assistant with Personality

CES 2017 may be best remembered not for one standout product, but for revealing a new and powerful generation of technology and the things it enables. The top five CES hashtags as the show ended perfectly summarize the hot topics of the week: #tech, #iot, #ai, #VR, and #CES. It was also a remarkably balanced show in the sense that almost every product category and business sector reflected applications and the impact of this evolution. Moore’s Law is alive, tomorrow is here, and the pace is accelerating. Three of the most important presentations of the week were made by Nvidia, Intel, and Qualcomm. Their processors deliver the power necessary for this next level of computing. Continue reading CES 2017: That Just Happened – Closing Day Takeaways

As predicted, artificial intelligence has been one of the most repeated phrases of CES 2017. It seems every other vendor here is slapping the “AI” label on its technology. So much so that it inspired us to take a (short) step back and look at what AI is in relation to machine learning. The reality is: there are still very few applications that can be legitimately labeled as artificial intelligence. Self-driving cars, DeepMind’s AlphaGo, Hanson Robotics’ Sophia robot, and to a lesser extent Alexa, Siri and the Google Assistant, are all AI applications. Most of the rest, and certainly most of what we’ve seen here at CES, are robust, well productized machine learning applications (usually built on neural network architectures), often marketed as AI. Continue reading CES 2017: Distinguishing Between Machine Learning and AI

As part of the FitnessTech Summit at CES 2017, FitWell founder/chief executive Ted Vickey brought together a small group of “disrupters” in the fitness industry to show applications that can and do make a difference in peoples’ lives. Vickey is bullish on the possibilities. “By far, there are more users of fitness apps than there are members of health clubs,” he said. “And close to 73 percent of users say they feel healthier because of their app.” The disrupters showed a wide array of use cases. Continue reading Wearables on the Rise: Innovators Show Disruptive Products