• Highly Accurate Genomes With Deep Neural Networks

    DeepVariant is being released as open source software to encourage collaboration and to accelerate the use of this technology to solve real world problems. To further this goal, we partnered with Google Cloud Platform (GCP) to deploy DeepVariant workflows on GCP, available today, in configurations optimized for low-cost and fast turnarounds using...

  • NVIDIA GPU Cloud Now Available to Hundreds of Thousands of AI Researchers Using NVIDIA Desktop GPUs

    LONG BEACH, Calif., Dec. 04, 2017 — NVIDIA today announced that hundreds of thousands of AI researchers using desktop GPUs can now tap into the power of NVIDIA GPU Cloud (NGC) as the company has extended NGC support to NVIDIA TITAN. NVIDIA also announced expanded NGC capabilities — adding new software and...

  • Research Blog: Google at NIPS 2017

    Posted by Christian Howard, Editor-in-Chief, Research Communications This week, Long Beach, California hosts the 31st annual Conference on Neural Information Processing Systems (NIPS 2017), a machine learning and computational neuroscience conference that includes invited talks, demonstrations and presentations of some of the latest in machine learning research. Google will have a strong...

  • Understanding Bias in Peer Review

    Posted by Andrew Tomkins, Director of Engineering and William D. Heavlin, Statistician, Google Research In the 1600’s, a series of practices came into being known collectively as the “scientific method.” These practices encoded verifiable experimentation as a path to establishing scientific fact. Scientific literature arose as a mechanism to validate and disseminate...

  • Facebook showcases latest research at NIPS 2017 – Facebook Research

    Machine Learning and AI experts from around the world will gather in Long Beach, CA, next week at NIPS 2017 to present the latest advances in machine learning and computational neuroscience. Research from Facebook will be presented in 10 peer-reviewed publications and posters.  Our researchers and engineers will also be leading and...

  • Interpreting Deep Neural Networks with SVCCA

    On the left pane, we show the two highest activation (largest euclidean norm) neurons in net1 and net2. Examining highest activations neurons has been a popular method to interpret DNNs in computer vision, but in this case, the highest activation neurons in net1 and net2 have no clear correspondence, despite both being...

  • Bringing still photos to life and 3D photography to your phone – Facebook Research

    Facebook researchers are transforming photography into entirely new consumer experiences—infusing still portraits with emotion and movement, and bringing 3D photography to the casual photographer. The Facebook team will present its latest research and also place the work into a broader context of the evolution of computer graphics and photography in the keynote...

  • Research Blog: Understanding Medical Conversations

    In “Speech Recognition for Medical Conversations”, we show that it is possible to build Automatic Speech Recognition (ASR) models for transcribing medical conversations. While most of the current ASR solutions in medical domain focus on transcribing doctor dictations (i.e., single speaker speech consisting of predictable medical terminology), our research shows that it...

  • Amazon Web Services to join ONNX AI format, drive MXNET support – Facebook Research

    The Open Neural Network Exchange (ONNX) is a community project originally launched in September 2017 to increase interoperability between deep learning tools. ONNX is a standard for representing deep learning models that enables these models to be transferred between frameworks. It is the first step toward an open ecosystem where AI developers...

  • NVIDIA’s Secret Sauce? ‘Culture,’ America’s Top Biz Magazine Writes

    Highlighting NVIDIA’s accomplishments — and its extraordinary culture — Fortune magazine Thursday named NVIDIA’s Jensen Huang its 2017 businessperson of the year. “The co-founder and CEO of semiconductor and software maker NVIDIA saw the future of computing more than a decade ago and began developing products that could power the Artificial Intelligence...