Baidu Collaborates with Peel for Voice-Controlled Smart Home Products

News, GTC, Internet / Communications, Internet of Things, Machine Learning & Artificial Intelligence, Signal / Audio Processing

Nadeem Mohammad, posted Apr 07 2016

With over 150 million users and 10 billion monthly remote commands, Peel will begin using Baidu’s Deep Speech technology in their next-generation voice-enabled products. Deep Speech is a state-of-the-art GPU-trained speech recognition system developed using “end-to-end deep learning” by Baidu Research’s Silicon Valley AI Lab (SVAIL). Baidu’s Adam Coates, who leads the SVAIL team, said:

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Share Your Science: The Future of Facial Recognition for Video Surveillance

News, Research, Defense, Image Processing, Machine Learning & Artificial Intelligence, Share Your Science

Nadeem Mohammad, posted Apr 06 2016

Javier Rodriguez Saeta, CEO of Herta Security, shares how they’re using NVIDIA GPUs to train deep neural networks for pattern recognition to help with security at airports, stadiums and train stations. Herta Security’s high performance video-surveillance solution for facial recognition is designed to identify people in crowded and changing environments in real-time. Their technology makes

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Share Your Science: Real-Time Facial Reenactment of YouTube Videos

Features, Research, CUDA, Facial Recognition, GeForce, Machine Learning & Artificial Intelligence, Media & Entertainment, Share Your Science

Nadeem Mohammad, posted Apr 06 2016

Matthias Niessner of Stanford University shares how his team of researchers are using TITAN X GPUs and CUDA to manipulate YouTube videos with real-time facial reenactment that works with any commodity webcam. The project called ‘Face2Face’ captures the facial expressions of both the source and target video using a dense photometric consistency measure. Reenactment is

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Optimizing Recurrent Neural Networks in cuDNN 5

Features, CUDA, cuDNN, Deep Learning, LSTM, Machine Learning, Recurrent Neural Networks

Nadeem Mohammad, posted Apr 06 2016

This week at GTC 2016, we announced the latest update to NVIDIA Deep Learning SDK, which now includes cuDNN 5. Version 5 offers new features, improved performance and support for the latest generation NVIDIA Tesla P100 GPU. New features in cuDNN 5 include: Faster forward and backward convolutions using the Winograd convolution algorithm; 3D FFT Tiling; Spatial Transformer

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NVIDIA Announcements at the 2016 GPU Technology Conference

Features, News, Automotive, CUDA, Development Tools & Libraries, GTC, Image Processing, Machine Learning & Artificial Intelligence, Media & Entertainment, Tesla

Nadeem Mohammad, posted Apr 06 2016

If you missed the opening keynote by NVIDIA CEO Jen-Hsun Huang, here’s a recap of today’s announcements at the GPU Technology Conference in Silicon Valley. In the video, NVIDIA VP Greg Estes covers the new NVIDIA SDK, Iray VR, Pascal-based Tesla P100 GPU, DGX-1 deep learning supercomputer in a box, and DriveWorks platform for self-driving

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