• Genomic Research Data Generation, Analysis and Sharing – Challenges in the African Setting

    Adedokun, B O, Olopade, C O and Olopade, O I (2016). Building local capacity for genomics research in Africa: recommendations from analysis of publications in Sub-Saharan Africa from 2004 to 2013. Global Health Action 9: 31026.DOI: https://doi.org/10.3402/gha.v9.31026  BD2K ().  https://datascience.nih.gov .  Bezuidenhout, L M, Leonelli, S, Kelly, A H and Rappert, B (2017). Beyond...

  • AutoML for large scale image classification and object detection

    Accuracies of NASNet and state-of-the-art, human-invented models at various model sizes on ImageNet image classification. We also transferred the learned features from ImageNet to object detection. In our experiments, combining the features learned from ImageNet classification with the Faster-RCNN framework surpassed previous published, state-of-the-art predictive performance on the COCO object detection...

  • Latest Innovations in TensorFlow Serving

    Posted by Posted by Chris Olston, Research Scientist, and Noah Fiedel, Software Engineer, TensorFlow Serving Since initially open-sourcing TensorFlow Serving in February 2016, we’ve made some major enhancements. Let’s take a look back at where we started, review our progress, and share where we are headed next. Before TensorFlow Serving, users of...

  • Visual reasoning and dialog: Towards natural language conversations about visual data

    The broad objective of visual dialog research is to teach machines to have natural language conversations with humans about visual content. This emerging field brings together aspects of computer vision, natural language processing, and dialog systems research. In general, dialog systems can have a spectrum of capabilities. On one end of the...

  • An imperative, define-by-run interface to TensorFlow

    Posted by Asim Shankar and Wolff Dobson, Google Brain Team Today, we introduce eager execution for TensorFlow. Eager execution is an imperative, define-by-run interface where operations are executed immediately as they are called from Python. This makes it easier to get started with TensorFlow, and can make research and development more intuitive....

  • Closing the Simulation-to-Reality Gap for Deep Robotic Learning

    If the goal is to bridge the reality gap for vision-based robotic manipulation, we must answer a few critical questions. First, how do we design simulation so that simulated experience appears realistic to a neural network? And second, how should we integrate simulated and real experience in a way that maximizes transfer...

  • Facebook SOSP papers present real-world solutions to complex system challenges – Facebook Research

    Video is a growing part of the experience of the billions of people who use the Internet. On an average day, videos are viewed more than 8 billion times on Facebook, and each of these videos needs to be uploaded, processed, shared, and then downloaded. This week Facebook researchers Qi Huang, Petchean...

  • NVIDIA Sets Conference Call for Third-Quarter Financial Results

    SANTA CLARA, Calif. – NVIDIA will host a conference call on Thursday, Nov. 9, at 2 p.m. PT (5 p.m. ET) to discuss its financial results for the third quarter of fiscal year 2018, ending October 29, 2017. The call will be webcast live (in listen-only mode) at the following websites: www.nvidia.com and www.streetevents.com. The company’s prepared...

  • NVIDIA Launches AI Cloud Container Registry to Accelerate Deep Learning, Volta GPUs Debut on Amazon Web Services

    Fully Tested, Optimized, Up-to-Date Deep Learning Software Available for Amazon EC2 P3 Instances Now SANTA CLARA, Calif. — NVIDIA today announced immediate availability of the NVIDIA® GPU Cloud (NGC) container registry for AI developers worldwide. In just a few steps, NGC helps developers get started with deep learning development through no-cost access to a comprehensive,...

  • NVIDIA, Taiwan’s Ministry of Science and Technology to Accelerate Taiwan AI Revolution with NVIDIA AI Computing Platform

    Collaboration Covers Five Initiatives to Help Taiwan Enterprises Harness Deep Learning’s Transformative Powers GTC Taiwan — NVIDIA today announced that it is collaborating with Taiwan’s Ministry of Science and Technology (MOST) to accelerate the development of artificial intelligence across Taiwan’s commercial sector in support of its recently announced AI Grand Plan to help foster...