In 2012, Microsoft chief executive Steve Ballmer and computer chip researcher Doug Burger believed they had found the future of computing: chips that could be programmed for specific tasks, dubbed field programmable gate arrays (FPGAs). Project Catapult, as it was called, was intended to shift the underlying technology of all Microsoft servers in that direction. FPGAs now form the basis of Bing. Soon, the specialized chips will be capable of artificial intelligence at a tremendous speed — 23 milliseconds versus four seconds. Continue reading Microsoft Speeds Up AI with New Programmable FPGA Chips

Facebook chief exec Mark Zuckerberg and his wife Dr. Priscilla Chan announced they plan to invest more than $3 billion over the next 10 years to develop tech focused on research to combat disease. “The first investment by the couple’s for-profit philanthropic arm, the Chan Zuckerberg Initiative LLC, will be $600 million to create a research lab of engineers and scientists based in San Francisco,” reports The Wall Street Journal. “This focus on building on tools suggests a road map for how we might go about curing, preventing and managing all diseases this century,” said Zuckerberg. Continue reading Chan Zuckerberg Fund Invests $3 Billion in Medical Research

The Geena Davis Institute on Gender in Media, at Mount St. Mary’s University, with funding from Google’s philanthropic division and in technical collaboration with Google and University of Southern California’s Signal Analysis and Interpretation Laboratory, has come up with a tool to accurately analyze gender bias in moviemaking. The tool, which uses video- and audio-recognition and algorithms to recognize gender, speaking time and other details, takes 15 minutes to collect data from a 90-minute movie. Continue reading Software Analyzes Gender Equity (or Lack Thereof) on Screen

The cameras on Apple’s iPhone 7 and iPhone 7 Plus use machine-learning-enhanced image signal processing (ISP) to achieve looks created by professional Digital Single Lens Reflex (DSLR) cameras. The iPhone 7 Plus’ dual camera lenses opens up an even greater range of photography possibilities. The technology uses computer vision artificial intelligence that “learns” to recognize photos’ contents and create neural networks. A Chinese startup has introduced a device that beautifies the faces of those using phones to live-stream selfies. Continue reading Apple Uses Computer Vision to Give iPhone 7 DSLR Abilities

“Morgan,” a horror film released by 20th Century Fox, has the distinction of being the first movie whose trailer was created with artificial intelligence. The studio partnered with IBM Research to develop what they’re calling a “cognitive movie trailer” largely created by AI. The IBM team faced several challenges, not the least of which is that the nature of horror is subjective. The team had to teach the system to be able to identify scary moments, and then make a trailer that audiences would find compelling. Continue reading IBM Uses AI to Create Trailer for 20th Century Fox’s ‘Morgan’

To keep track of the massive amount of data shared on Facebook, the company’s Artificial Intelligence Research (FAIR) lab created fastText, which offers a variety of techniques that make it more accurate and easy to do. Today, Facebook is making fastText open source, available on GitHub, so developers can use its libraries anywhere. Among the techniques fastText uses are “bag of words” and “subword information.” Facebook will use fastText to cut down on “clickbait,” an ever-present irritation on the Internet. Continue reading Facebook Open-Sources fastText Tools That Stifle Clickbait

Betting big that future data centers will rely upon artificial intelligence, Intel is acquiring deep learning startup Nervana Systems. Details have yet to be revealed, but an inside source values the San Diego-based startup at $408 million. According to Intel VP Jason Waxman, the shift to artificial intelligence could surpass cloud computing, since machine learning would be necessary for a future in which billions of devices communicate with each other. Nervana “has been working to bring machine learning all the way into the silicon,” reports Recode, “rather than simply making software that can run on top of anyone’s cluster of graphics chips.” Continue reading Intel Invests in Machine Learning with Nervana Systems Deal

Cloud computing is booming, and Google is losing ground to Amazon and Microsoft. As the business of renting computer servers to outside businesses grows more lucrative, Google has decided to promote its artificial intelligence software to enterprise customers. Now, potential customers of Google’s cloud offering can also take advantage two software programs — converting text to speech and extracting meaning from text — that, up until now, have only been used internally. Rivals Amazon and Microsoft offer competing AI products. Continue reading Google Redoubles its Cloud Ambitions, Offering AI Programs

Microsoft introduced Stream, a service that will allow businesses the ability to share internal video easily and securely. Now available as a free preview, Stream offers the same easy-to-use, flexible tools as YouTube, but with security tools for enterprise content. Office 365 already has a Video tool, and Microsoft’s idea is to eventually and seamlessly merge the two services. Unlike Office 365, Stream will make use of tools — including likes, comments, and recommendations — found in consumer platforms such as Vimeo and YouTube. Continue reading Microsoft Stream Offers Familiar Video Tools for Businesses

For the first time, Internet video pioneer YouTube has had to take into account that its dominance is being challenged, most notably by Facebook, Snapchat and Amazon. Now, YouTube has more than a billion users, an app audience of 18-to-49-year-olds that dwarfs that of any U.S. cable network, and an average mobile viewing session more than 40 minutes long. To keep ahead of the competition, YouTube has diversified, with apps devoted to specific niche audiences: YouTube Music, YouTube Kids and YouTube Gaming. Continue reading YouTube Faces Rivals, Diversifies to Capture Niche Audiences

Zendesk is introducing Automatic Answers, a service that answers a business’s emails from customers, without human intervention. But it’s far more sophisticated than today’s well-known auto-responders, having been built on a machine-learning platform that in-house data scientists and engineers have been developing for some time. The platform is also used for another Zendesk service, Satisfaction Prediction, which helps determine the customer experience. Automatic Answers will be rolled out later in the year. Continue reading Zendesk Customer Service Product Built on Machine Learning

Next month, Snapchat will introduce Memories, a new feature designed to let users save favorite photos and videos, re-edit them by adding filters and text and then re-share the latest versions. Included is a search function that lets the user search Memories by date, location or keywords. Prior to Memories, a Snapchat user could save a photo or video by downloading it to her smartphone, but couldn’t view it in the app or share it. Memories still does not allow a Snapchat user to save a photo/video sent by someone else. Continue reading Snapchat to Debut Memories to Save, Tweak, Re-Share Snaps

Anki, the company that introduced Anki Drive, artificial intelligence-powered racecars, will ship its second product in October: a robot dubbed Cozmo, the size of a coffee mug that costs $180. By combining artificial intelligence, computer-vision science, advanced robotics, character development and machine-learning algorithms, Cozmo is a toy that is intended to be much like a real-world Wall-E or R2-D2, says chief executive Boris Sofman. The company is also offering SDKs for Cozmo’s components. Continue reading Cozmo: Anki to Launch Robot Powered by Machine Learning

Twitter announced it is acquiring London-based artificial intelligence startup Magic Pony Technology to help provide a professional polish to tweeted live videos. The social giant reportedly paid about $150 million to purchase Magic Pony. Twitter CEO Jack Dorsey said he was buying the company “so Twitter can continue to be the best place to see what’s happening and why it matters, first.” Twitter has been emphasizing video in recent months, and machine learning is “increasingly at the core of everything we build,” said Dorsey. In addition to using machine learning, “Magic Pony’s technology uses artificial intelligence for visual effects,” notes Bloomberg. “It can be used to clean up pixelated images or create new images” and “to improve video streaming.” Continue reading Twitter Eyes Machine Learning with Acquisition of Magic Pony

Microsoft just paid $26.2 billion to buy LinkedIn and its treasure trove of information about the business social network’s 105.5 million monthly active users. That enormous quantity of data will drive machine learning to create and evolve products as well as anticipate customer needs. Microsoft isn’t alone in going after large repositories of data for that very reason. As Microsoft, Apple and Alphabet exploit the possibilities of machine learning, they all are competing for the information necessary to find actionable patterns. Continue reading Microsoft to Mine LinkedIn Data, Advance Machine Learning