Automatic Colorization of Grayscale Images

Research, GeForce, Higher Education / Academia, Image Processing, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Apr 08 2016

Colorization of grayscale images is a simple task for the human imagination. Researchers from the Toyota Technological Institute at Chicago and University of Chicago developed a fully automatic image colorization system using deep learning and GPUs. Their paper mentions previous approaches required some level of user input. Using a TITAN X GPU, they trained their

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Share Your Science: Robots Thinking More Like Humans with Deep Reinforcement Learning

Research, Higher Education / Academia, Image Processing, Machine Learning & Artificial Intelligence, Robotics, Share Your Science

Nadeem Mohammad, posted Apr 07 2016

Pieter Abbeel, Professor at UC Berkeley shares how his Artificial Intelligence lab is using NVIDIA GPUs and deep reinforcement learning to enable a robot to learn on its own. Abbeel’s robotics work was recently highlighted in Rolling Stone’s story “Inside the Artificial Intelligence Revolution: A Special Report, Pt. 1”. The video demonstrates how their robot

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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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