CES: Nvidia Stakes Claim to Automotive and Entertainment AI

In a roving two-hour presentation, Nvidia CEO Jensen Huang unveiled a raft of products, partnerships and performance achievements at CES 2018. Focusing mostly on the automotive industry, Huang showed off the GPU giant’s new autonomous driving software stack powered by Xavier, a system-on-chip (SoC) for artificial intelligence-empowered car platforms, and touted partnerships with more than 320 car and truck companies. Huang also showcased a large HDR display for giant-screen, PC gaming and streamed an AI-generated motion picture theme composed in the style of “Star Wars” by John Williams. Continue reading CES: Nvidia Stakes Claim to Automotive and Entertainment AI

Magic Leap Reveals AR Headset, Its First Step to End Reality

Magic Leap finally came out with Magic Leap One, its long-anticipated augmented reality headset. The goggles are dubbed Lightwear, powered by the Lightpack, a small computer that the user mounts on her hip. The two-piece AR device is “engineered to be lightweight and comfortable for hours of exploration,” says the company, noting that it combines its Digital Lightfield technology with environment mapping, precision tracking and soundfield audio. Magic Leap founder Rony Abovitz adds that the device also has a powerful CPU and GPU. Continue reading Magic Leap Reveals AR Headset, Its First Step to End Reality

Google Intends to Advance Machine Learning With its AutoML

In May, research project Google Brain debuted its AutoML artificial intelligence system that can generate its own AIs. Now, Google has unveiled an AutoML project to automate the design of machine learning models using so-called reinforcement learning. In this system, AutoML is a controller neural network that develops a “child” AI network for a specific task. The near-term goal is that AutoML would be able to create a child that outperforms human versions. Down the line, AutoML could improve vision for autonomous vehicles and AI robots. Continue reading Google Intends to Advance Machine Learning With its AutoML

Amazon Debuts Intel-Powered DeepLens Camera to Teach AI

On November 29 at the AWS re:Invent conference, Amazon Web Services introduced its AWS DeepLens, a video camera whose main purpose is to teach developers how to program AI functions. The camera comes loaded with different AI infrastructures and AWS infrastructure such as AWS Greengrass Core and a version of MXNet. Developers can also add their own frameworks like TensorFlow. The 4-megapixel camera can shoot 1080p HD video and offers a 2D microphone system for recording sound, in the form factor of an action camera on top of an external hard drive. Continue reading Amazon Debuts Intel-Powered DeepLens Camera to Teach AI

Rylo 360-Degree Camera Touts Computational Photography

Former Instagram employees Chris Cunningham and Alex Karpenko have been working on Rylo, a new $500 software-based camera for the last two years. Rylo is a dual-lens 360-degree camera that solves three problems specific to video capture: the video needs to be stable, level and looking at the right thing. Rylo’s two lenses each capture a 195-degree field of view, which the camera stitches together into a single sphere. The imagery in that single sphere can be post-produced in one of three ways. Continue reading Rylo 360-Degree Camera Touts Computational Photography

New Intel Chip Can Handle 4 Trillion Operations Per Second

One year after its acquisition of Movidius, Intel is introducing a new chip called the Myriad X, which TechCrunch describes as “a ‘Pro’ version of the Myriad 2, bringing a major redesign to the computer vision-minded chip, while also flaunting some new sophisticated deep-learning capabilities by way of its new ‘Neural Compute Engine.’” While a dedicated computer vision chip has a wide range of potential applications, Intel is looking to use the Myriad X in drones, robots, smart cameras and VR and AR headsets. Continue reading New Intel Chip Can Handle 4 Trillion Operations Per Second

Google Purchases AIMatter to Boost Computer Vision Efforts

Google just acquired AIMatter, a Belarus startup that will boost the tech giant’s efforts in computer vision, the artificial intelligence sector that helps computers process images as well as, or even better, than humans. AIMatter has already built a neural-network-powered AI platform and SDK that quickly processes images on mobile devices, as well as Fabby, a photo/video editing app that has been used as a proof-of-concept. AIMatter has employees in Minsk, the San Francisco Bay Area, and Zurich, Switzerland. Continue reading Google Purchases AIMatter to Boost Computer Vision Efforts

Andrew Ng Leaves Baidu’s AI Group to Launch New Startup

AI visionary Andrew Ng — co-creator of the Google Brain research project, former chief scientist at Chinese web giant Baidu, and co-founder of online education platform Coursera — has launched a new AI company called deeplearning.ai. While details are scarce at this point, Ng recently promised “more announcements soon” via tweet. The company’s website simply features the tagline “Explore the frontier of AI,” followed by #deeplearniNgAI and “August 2017,” suggesting more information is coming later this summer. Continue reading Andrew Ng Leaves Baidu’s AI Group to Launch New Startup

Artificial Intelligence Now Powers Photo Searches on Facebook

Facebook’s Lumos computer vision platform, which was originally created to help visually impaired members of the social network’s community, is now being used for a more sophisticated image search. It allows users to find images on Facebook via key words that describe content, rather than a search that is limited to tags and captions. “Facebook trained an ever-fashionable deep neural network on tens of millions of photos,” explains TechCrunch. “The model essentially matches search descriptors to features pulled from photos” and “ranks its output using information from both the images and the original search.” Facebook may apply the tech to videos in the future and potentially raise the bar on its targeted ad offerings. Continue reading Artificial Intelligence Now Powers Photo Searches on Facebook

Eonite Perception Debuts VR Headset with Inside-Out Tracking

Palo Alto-based startup Eonite Perception has developed its Vantage Head Tracker, next-generation VR headset software that uses “inside-out-tracking” technology to track the user’s position and movements without external sensors or cameras. Founded in 2015 by Youssri Helmy, currently the company’s chief executive, and Stanford University computer vision experts Anna Petrovskaya and Peter Varvak, Eonite’s technology is quite different from current VR headsets. Helmy notes that the startup’s tech mimics how human perception works. Continue reading Eonite Perception Debuts VR Headset with Inside-Out Tracking

Amazon Expands into Food Sales, Tests New Grocery Stores

Amazon introduced its first brick-and-mortar store that is part of Project Como, aimed at garnering a market share of food sales. The “small format” Amazon Go, one of three different types of grocery stores the company plans for the coming months, will open in early 2017. In the next few weeks, Amazon will also open two prototypes of another format, a drive-through without in-store shopping. Depending on the results of the tests, Amazon plans to open more than 2,000 such brick-and-mortar grocery stores. Continue reading Amazon Expands into Food Sales, Tests New Grocery Stores

Facebook Considers Artificial Intelligence to Battle Fake News

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

Facebook Acquires FacioMetrics for Human Emotion Detection

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

Apple Uses Computer Vision to Give iPhone 7 DSLR Abilities

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

Intel Acquires Movidius, Plans Next Wave of RealSense Tech

Intel announced it is acquiring Movidius, the Irish computer vision company that builds processors for drones, robots, VR systems and more. Movidius was an early partner with Google and was responsible for Project Tango’s 3D sensor technology. Intel is planning to move beyond PCs; the Movidius deal is expected to help it expand its artificial intelligence portfolio and build upon its RealSense platform. According to Intel, with Movidius the company “gains low-power, high-performance SoC platforms for accelerating computer vision applications.” Continue reading Intel Acquires Movidius, Plans Next Wave of RealSense Tech

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