Artificial intelligence is moving into the mainstream and the San Francisco-based Sentient is one example of how it’s working. The company most recently built a visual search service for an online footwear company, Shoes.com, and also worked with Saint Michael’s Hospital at the University of Toronto on tracking patient care. Rather than rely on history for recommendations, the technology looks at more than a hundred factors to make judgments. Microsoft is also building AI into its products, including its Azure cloud platform. Continue reading Companies Develop New Applications for Artificial Intelligence

Following announcements that Google is releasing its TensorFlow machine learning platform so developers can create their own artificial intelligence programs, and Nvidia has made a significant update to its Jetson TX1 supercomputer-on-a-chip, Microsoft is the latest with major AI news. The company has updated its Project Oxford suite of AI tools with powerful new features and programs designed to identify human emotions and voices, for example, that could make their way into the apps we use on a daily basis. Continue reading Microsoft Project Oxford Updates Could Bring AI to More Apps

Facebook, Google and numerous startups are among those actively researching new possibilities with artificial intelligence technology. Japanese automaker Toyota is joining the crusade with a five-year, $1 billion R&D effort. The planned Silicon Valley facility will become one of the largest research labs in the area. Toyota Research Institute will initially open a lab next to Stanford and an additional facility near MIT in Cambridge. Toyota’s plans represent a shift in tech research — a return to a focus on science and engineering rather than a push for tech that would become a specific product or service. Continue reading Toyota Invests $1 Billion in Planned Return to Traditional R&D

Google is now relying on artificial intelligence, with a system dubbed RankBrain, for a small but significant part of its search business. Since Google is identified with search, keeping on the bleeding edge of search technology is critical to its dominance, and Google has been researching artificial intelligence — software that learns about the world — for over five years. Prior to launching RankBrain for search, Google has been a big corporate sponsor of AI, invested in it for videos, speech and translation. Continue reading Google Using RankBrain Artificial Intelligence Tech for Search

German startup EyeEm, which launched its photo-sharing app in 2011, unveiled new technology based on an advanced algorithm and machine learning to identify details of online photos. The technology, EyeVision, automatically scans images and tags them with specific keywords, making it useful for people searching for specific images. The technology, which has been in development for three years, comes at a time that companies like Amazon, Facebook and Google look for ways to provide images for online search queries. Continue reading EyeEm Unveils New Tech for Auto-Scanning, Tagging Images

TV technology is getting closer to monitoring and analyzing our facial expressions in order to distinguish between boredom and enthusiasm to better understand our viewing tastes. Software from media startup Affectiva could usher in a new frontier in television viewing, one in which our devices watch our reactions and offer content suggestions or enable brands to provide more targeted ads. If consumers are willing to allow their emotional data to be gathered, movie and TV show recommendations from Netflix, for example, could become more relevant. Continue reading Facial Monitoring Software Could Impact Your TV Experience

At a three-day DARPA conference, the agency highlighted Brandeis, a project to develop technology with plans to protect individual privacy. The move is a 180-degree turn from the post September 11 focus on Total Information Awareness, a program that developed digital surveillance. DARPA has already selected the companies and universities joining the program, among them SRI International and Stealth Software. The meeting to kickoff Brandeis is scheduled to take place in October. Continue reading DARPA’s Brandeis Project Focuses on Technologies for Privacy

Google is now offering Preemptible Virtual Machines (or VMs), a new class of computing resources that can be rented for a steep discount and shut down at any time. The only caveat is that customers must be willing to yield the computing resource on short notice. The solution is ideal for universities and companies that can’t or don’t want to buy their own expensive supercomputers. By offering this service, Google is entering an area dominated, up until now at least, by Amazon Web Services’ short-term use program, Spot Instances. Continue reading Google Enters Budding On-Demand Supercomputing Business

Stewart Butterfield, founder and CEO of office chat software maker Slack Technologies, says his company is using AI to help build an advanced virtual assistant. Slackbot, Slack’s current built-in assistant, is an icon used for tips, searches and even a sprinkling of humor. In discussing the future potential of Slackbot, Butterfield compares it to the Samantha software voiced by Scarlett Johansson from the film “Her.” Butterfield is leveraging natural language processing and machine learning to build a truly helpful digital office assistant. Continue reading Slack Uses Artificial Intelligence to Build New Virtual Assistant

Photo sharing site Flickr is helping users store and organize their photos with new cloud computing and machine learning solutions. The service recently introduced a new automatic photo uploader for mobile and desktop and each user gets 1,000 gigabytes of free cloud storage. Sorting through photos is now easier with the new search function, which relies on machine learning tech to recognize objects, places, and people in photos. The new search engine works because the service automatically adds descriptive tags to uploaded photos. Continue reading Flickr Upgrade Includes Cloud Storage and Object Recognition

Social network Pinterest has purchased a startup that powers a machine-learning recommendation engine. The seven-person company Kosei, which was founded less than a year ago, has developed a graph that understands the relationships between millions of products. Image-driven Pinterest can use this recommendation engine to help detect spam, recommend more relevant pins, and target its advertising. Pinterest just rolled out advertising on its platform earlier this month. Continue reading Pinterest Acquires Kosei to Help Improve Pin Recommendations

Facebook will continue to improve its Messenger app this year. The standalone app already has more than 500 million monthly users, but the company is hoping to get to a billion users by the end of the year. One attractive new feature will be the voice-to-text transcription. A release date has yet to be announced, but the company is already testing it. Also, Facebook will experiment with ways to generate revenue and give people a way to communicate with businesses on the Messenger app. Continue reading Facebook Messenger Will Roll Out Voice-to-Text Capabilities

Breakthroughs in image recognition technology may drastically improve image searches when machines can recognize people, objects, actions, and even the quality of photographs. Researchers at Google and Stanford University recently unveiled new software that can teach itself to identify the characters, actions, and settings of a scene in photos and videos. Photo sharing startup EyeEm has fine-tuned algorithms that rate photographs based on aesthetics. Continue reading New Image Recognition Technology Can See More Than Faces

Dropbox wants to add image recognition software to its cloud storage service so that photos would automatically be tagged with the objects, people, and places found in the images. The company has hired the co-founders of Kriegman-Belhumeur Vision Technology, Peter Belhumeur and David Kriegman, to engineer the new technology. The two men are university professors with extensive experience in computer vision, facial recognition, and machine learning. Continue reading Dropbox Hires Computer Vision Experts to Mine Photographs

Twitter unveiled its new BotMaker system this week, designed to address its growing spam problem. The machine learning models and other techniques traditionally used to classify messages as spam do not always work with the real-time nature of Twitter, so the company developed BotMaker, which scans messages as part of bulk data analyses. According to Twitter, the system has resulted in a 40 percent reduction in spam since it was rolled out and now handles billions of events each day. Continue reading Twitter Effectively Combats Spam with New BotMaker System