Image recognition, or computer vision, is the foundation of new opportunities in everything from automotive to advertising. Its growing importance is such that the upcoming LDV Vision Summit, an annual conference on visual technology, is now in its third year. Computer vision has expanded through trends that have benefited other forms of AI, including open source, deep learning technology, easier programming tools and faster, cheaper computing, opening up opportunities for a wide range of businesses. Continue reading Image Recognition Tech Paving the Way for Future Advances

Microsoft researchers from the U.K. created a holoportation system, which projects a live 3D hologram of a person into another room, anywhere in the world, where it can interact in real-time with whoever is present. The researchers, who focus on 3D sensors and machine learning, spent two-and-a-half years with the HoloLens team in Washington state to develop holoportation. The system requires a lot of horsepower and high-quality 3D capture cameras, as well as a HoloLens (or other VR/AR headset) on the receiving end. Continue reading Microsoft Demos Live 3D Holoportation System via HoloLens

Nvidia has entered the field of artificial intelligence with the debut of its Tesla P100 chip, which contains 15 billion transistors — about twice as many as its previous high-end graphics processor and, says Nvidia chief executive Jen-Hsun Huang, the largest chip ever made. Nvidia is creating the DGX-1 computer with eight Tesla P100 chips and AI software; computers from third parties integrating the chip are expected to be on the market by next year. Huang hints its first use is likely to be for cloud computing services. Continue reading Nvidia’s Tesla P100 Chip Enables Speedy Machine Learning

Silicon Valley has dubbed machine learning and artificial intelligence as the next big thing. Today’s tsunami of data has created the need to make sense of it, quickly and efficiently. Although recent focus has been on giant public clouds from Amazon, Google and Microsoft, now those companies’ abilities to use AI to parse all that data has become the latest arena of competition. All three companies are now striving to define the next gen platform, with Google in the lead and Microsoft and Amazon playing catch up. Continue reading Amazon, Google and Microsoft Race to Dominate AI Platform

Until now, Google has been third, behind Amazon and Microsoft, in the fast-growing market of cloud computing services. That all changed at its NEXT conference in San Francisco when the company showcased a variety of cloud-based services including software for machine learning, a powerful new speech service that challenges Nuance’s dominance, and a recently introduced vision service. Google also plans to expand places where people can purchase its cloud services from four regions to 16 in the next year-and-a-half. Continue reading Google Makes its Move to Become a Player in Cloud Services

Following in the footsteps of Facebook and Twitter, Instagram is on the verge of changing its newsfeed. But, unlike Facebook, Instagram plans to roll out its changes slowly, as a series of small tests to a single-digit percentage of user groups. The new feed will be algorithm-based and personalized, much like that found at its parent company Facebook. The result would be a shift away from reverse chronology list to the photos/videos Instagram thinks you will most want to see from among those you follow. Continue reading Instagram to Slowly Introduce New Algorithm-Based Newsfeed

IBM estimates that smartphones and devices related to the Internet of Things will generate 44 zettabytes (exabytes to the thousandths) by 2020. To handle all that information, IBM is looking at storage solutions that combine machine learning and artificial intelligence, both of which excel at finding patterns. Other companies are looking for solutions, including Pure, which is combining flash storage and engineering to create a storage unit that currently holds 16 petabytes, or five times most storage devices. Continue reading Users Seek New Storage and Cloud Solutions as Data Explodes

Although up until now, augmented reality has had an inauspicious debut — think Google Glass — it’s poised to transform how we interact with computers in the next two decades. AR now has technical limitations including a narrow field of view, less-than-ideal resolution and latency issues. Furthermore, the only way to interact with AR is via bulky glasses or helmets. But many experts believe that we are in the midst of a speedy evolution to the point where AR will enable us to project a virtual screen on every surface. Continue reading Augmented Reality and Artificial Intelligence Shaping the Future

Santa Clara-based startup SoundHound has developed a voice-powered digital assistant that could take on early players in the field, including Siri, Google Now and Cortana. Like the others, the Hound app (for iOS and Android) allows users to interact via voice so that it can perform requested tasks. However, Hound claims to be faster and smarter than its competitors. The app has been in beta with 150,000 testers since last summer, and is now publicly available along with new Yelp and Uber partnerships for restaurant info and ride hailing from within the app. Continue reading New Voice-Powered App Takes On Leading Digital Assistants

Google just indicated one of its future initiatives when Amit Singhal, who oversees the Google search engine, stepped down, and was replaced by John Giannandrea, who oversees Google’s work in artificial intelligence and, by association, what’s called “deep learning.” Google has already used deep learning to reinvent Search, via RankBrain, a deep learning system to generate responses to search inquiries. As of October of last year, RankBrain has grown to handle a “large fraction” of the queries to the search engine. Continue reading Google Sees Future in Artificial Intelligence and Deep Learning

SoftBank’s Pepper humanoid robots are already interacting with customers at shops and banks in Japan. Later this month, the robots will be introduced to more advanced functions after SoftBank opens a planned app store offering software that will help track customer’s behavior and improve communication with customers. The Pepper robots, which are designed to feature human-like body language and work in retail, have reportedly been selling out regularly since last year’s launch. Continue reading SoftBank to Launch App Store for its Pepper Robots This Month

Baidu, a Chinese company best known for its Internet search engine, has entered the competition with other Internet companies and automobile manufacturers to create an autonomous vehicle. The company has already invested heavily in artificial intelligence and developed software called the Baidu AutoBrain System, which automatically records 3D road data and recognizes objects and road lanes. This expertise may help Baidu gain an edge over Google, General Motors, Tesla and Ford. Continue reading Baidu Joins the Race to Get Self-Driving Vehicles on the Road

Google is partnering with Movidius, a semiconductor startup, to begin developing technology that would allow mobile devices to do more heavy computing such as machine learning and image recognition. Movidius specializes in computer vision, so Google has licensed its MA2450 chip to help build image-recognition capabilities. The chip has 12 cores and was chosen for its low power consumption and hefty processing power. Image recognition could be used in all sorts of apps to identify objects and people. Continue reading Google Pursues Bringing Machine Learning to Mobile Devices

Football coaches are already using artificial intelligence to help them on the sidelines. Students at North Carolina State University built an AI that could predict whether an NFL team would pass or run the ball. The AI called the plays correctly 91.6 percent of the time during an NFL game. The technology may not yet be ready for a real-time game situation, but with more data and research into machine learning and game theory, AI could become a big league contender. Continue reading Data Analytics: AI Could Assist Coaches in Professional Sports

Proponents of artificial intelligence are quick to point out that, as Google searches and Siri exemplify, it’s nothing new. In fact, panelists talking about “The Future of Artificial Intelligence” at CES described their own and others’ efforts in the field dating back to 2007. But a combination of a new trend in collecting and curating massive amounts of data, along with widespread cloud usage, is opening to the doors to more platforms and applications for artificial intelligence in enterprise and consumer markets. Continue reading Future of Artificial Intelligence for Enterprise and Consumers