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February 19, 2017

Unlocking the Potential of Eye Tracking Technology

The concept of measuring and responding to human eye motion isn’t new, but the past year saw a rising interest in the technology.

February 19, 2017

Apple Acquires Israeli Firm RealFace Specializing in Facial Recognition

The startup had developed a unique facial recognition technology that integrates AI and "brings back human perception to digital processes".

February 19, 2017

Magic Leap Acquires 3D Division of Dacuda in Zurich

One of Dacuda’s focuses had been developing algorithms for consumer-grade cameras to capture 2D and 3D imaging in real-time.

February 17, 2017

Debug TensorFlow Models with tfdbg

tfdbg requires few lines of code change, provides comprehensive coverage of the graphs, and offers a more interactive debugging experience.

February 15, 2017

An Updated YouTube-8M, a Video Understanding Challenge, and a CVPR Workshop. Oh My!

Last September, Google released the YouTube-8M dataset, which spans millions of videos labeled with thousands of classes.

February 15, 2017

Microsoft Open Sources a Simulator for Training Drones, Self-driving Cars and More

The software, which is available on GitHub, virtually recreates shadows, reflections and other potentially confusing real-world conditions.

February 15, 2017

Google Releases TensorFlow 1.0 with New Machine Learning Tools

Google says the release is now production-ready by way of its API; new tools have also been announced.

February 15, 2017

The Caavo Streaming Box is Built on Game-changing Machine Vision for TV

They're using machine vision to figure out what’s on-screen, and then determining what command to send next based on that information.

February 14, 2017

TheBlindGuide Acquires UPenn Startup ThirdEye, Bringing Computer Vision to the Visually Impaired

ThirdEye, a mobile app, uses Google’s Cloud Vision API to identify objects and read their descriptions aurally.

February 14, 2017

To Get AI in Everyday Gadgets, Engineers Go to Specialized Hardware

Energy-efficient, deep-learning processors are what's needed to make smart phones, wearables, and other consumer electronics smarter.