• A conversation with Dr. Joëlle Pineau, head of new FAIR lab in Montreal – Facebook Research

    With the opening of its newest AI research lab in Montreal, Facebook is tapping into Montreal’s thriving AI ecosystem. The fourth Facebook AI Research (FAIR) lab will be led by Dr. Joelle Pineau, an expert in the field of reinforcement learning and co-director of the Reasoning and Learning Lab at McGill University’s...

  • Entrepreneurship education revisited: perceived entrepreneurial role models increase perceived behavioural control

    Relying on Bandura's (1986) social learning theory, Ajzen's (1988) theory of planned behaviour (TPB), and Dyer's (1994) model of entrepreneurial careers, this study aims to highlight the potential of entrepreneurial role models to entrepreneurship education. The results suggest that entrepreneurial courses would greatly benefit from real-life experiences, either positive or negative. The...

  • The 2017 Facebook PhD Fellows Workshop – Facebook Research

    This week, we are hosting 27 Facebook PhD Fellows and Emerging Scholars at our Menlo Park headquarters to share their work and network with the broader Facebook and fellowship community. At the annual Facebook Fellowship research workshop, the PhD students join Facebook researchers for a multi-disciplinary program designed to share ideas across...

  • CORRECTION – NVIDIA TensorRT 3 Dramatically Accelerates AI Inference for Hyperscale Data Centers

    BEIJING, CHINA – In the news release, “NVIDIA TensorRT 3 Dramatically Accelerates AI Inference for Hyperscale Data Centers,” issued Monday, September 25, 2017 by NVIDIA (NASDAQ: NVDA), please be advised that the first sentence of the fifth paragraph should read “NVIDIA’s AI platform, using TensorRT software on Tesla GPUs, is an outstanding technology at...

  • World’s Largest Server Companies Announce NVIDIA Volta Systems Supercharged for AI

    SANTA CLARA, CA – NVIDIA (NASDAQ: NVDA) and its systems partners Dell EMC, Hewlett Packard Enterprise, IBM and Supermicro today unveiled more than 10 servers featuring NVIDIA® Volta architecture-based Tesla® V100 GPU accelerators — the world’s most advanced GPUs for AI and other compute-intensive workloads. NVIDIA V100 GPUs, with more than 120 teraflops...

  • NVIDIA TensorRT 3 Dramatically Accelerates AI Inference for Hyperscale Data Centers

    The combination of TensorRT 3 with NVIDIA GPUs delivers ultra-fast and efficient inferencing across all frameworks for AI-enabled services — such as image and speech recognition, natural language processing, visual search and personalized recommendations. TensorRT and NVIDIA Tesla® GPU accelerators are up to 40 times faster than CPUs(1) at one-tenth the cost...

  • Design and Implementation of a Training Course on Big Data Use in Water Management

    1. Introduction Advances in computational technologies have enabled the unprecedented exploitation of Big Data in multiple domains, including geosciences and global environmental change. The characteristics of Big Data along with specific demands for its acquisition, management, processing, and analysis require innovative e-infrastructure and new methodologies (Fan and Bifet, 2012; Chen et al.,...

  • SLAM: Bringing art to life through technology

    SLAM: Bringing art to life through technology SLAM: Bringing art to life through technology

  • Using social media data to help measure smoke exposure – Facebook Research

    When natural disasters strike, people turn to Facebook to understand what’s happening and to share important safety information. The same applies to wildfires, where people often discuss the locations of fires and where they see smoke and haze. Nearly 50,000 wildfires have already burned this year. Particles emitted from wildfires can travel...

  • A Semantic Cross-Species Derived Data Management Application

    Avishai-Eliner, S, Brunson, K L, Sandman, C A and Baram, T Z (2002). Stressed-out, or in (utero)?. Trends in neurosciences 25(10): 518–524, DOI: https://doi.org/10.1016/S0166-2236(02)02241-5  Bakker, R, Tiesinga, P and Kötter, R (2015). The Scalable Brain Atlas: Instant Web-Based Access to Public Brain Atlases and Related Content. Neuroinformatics 13(3): 353–366, DOI: https://doi.org/10.1007/s12021-014-9258-x  Baram, T Z, Davis, E P, Obenaus,...