New NVIDIA Deep Learning Software Tools for Developers

Events, News, CUDA, cuDNN, HPC, Image Recognition, Machine Learning & Artificial Intelligence, tensort

Nadeem Mohammad, posted May 10 2017

Aided by developers’ requests, NVIDIA announced a significant update to the NVIDIA SDK, which includes tools, libraries and enhancements to the CUDA programming model to help developers accelerate and build the next generation of AI and HPC applicati

Read more

Introducing Metropolis – Video Analytics for Smart Cities

News, CUDA, Image Recognition, Jetson, Machine Learning & Artificial Intelligence, tensort, Tesla

Nadeem Mohammad, posted May 08 2017

NVIDIA announced the NVIDIA Metropolis™ intelligent video analytics platform today at the GPU Technology Conference (GTC) in San Jose, CA.

Read more

Human-like Character Animation System Uses AI to Navigate Terrains

Features, Research, CUDA, cuDNN, Games, GeForce, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Media & Entertainment

Nadeem Mohammad, posted May 02 2017

Researchers from University of Edinburgh and Method Studios developed a real-time character control mechanism using deep learning that can help virtual characters walk, run and jump a little more naturally.  “Data-driven motion synthesis using neural

Read more

Recreate Any Voice Using One Minute of Sample Audio

Research, CUDA, cuDNN, GeForce, Higher Education / Academia, Internet / Communications, Machine Learning & Artificial Intelligence, Media & Entertainment, Signal / Audio Processing

Nadeem Mohammad, posted Apr 27 2017

A Montreal-based startup developed a set of deep learning algorithms that can copy anyone’s voice with only 60 seconds of sample audio.

Read more

Artificial Intelligence Could Help Diagnose Tuberculosis

Research, CUDA, cuDNN, GeForce, Healthcare & Life Sciences, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Apr 25 2017

Researchers from Thomas Jefferson University Hospital in Philadelphia are training deep learning models to identify tuberculosis (TB) in an effort to help patients in regions with limited access to radiologists.

Read more

Deep Reinforcement Learning Agent Beats Atari Games

Research, Cluster, CUDA, cuDNN, GeForce, Higher Education / Academia, Machine Learning & Artificial Intelligence, Media & Entertainment

Nadeem Mohammad, posted Apr 21 2017

Stanford researchers developed the first deep reinforcement learning agent that learns to beat Atari games with the aid of natural language instructions.

Read more

Satellite Images Help Track a Vehicle

Research, Automotive, CUDA, GeForce, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Apr 12 2017

Researchers from the Toyota Technological Institute at Chicago (TTIC) and Carnegie Mellon University developed a deep learning-based method that locates a ground vehicle by using satellite imagery as the only prior knowledge of the environment.

Read more

Automatically Identify Wild Animals in Camera-Trap Images

News, CUDA, cuDNN, GeForce, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Apr 11 2017

A research team led by University of Wyoming developed a deep learning-based system to identify species in the Serengeti National Park in Tanzania that could make it easier for ecologists to track animals in the wild.

Read more

Mastering StarCraft with AI

Research, CUDA, cuDNN, GeForce, Higher Education / Academia, Machine Learning & Artificial Intelligence, Media & Entertainment

Nadeem Mohammad, posted Apr 05 2017

Researchers from Alibaba and University College London developed a deep learning-based system that learned how to execute a number of strategies for the popular real-time strategy game StarCraft.

Read more

Personalized Aesthetics: Recording the Visual Mind

News, Research, CUDA, cuDNN, GeForce, Image Recognition, Machine Learning & Artificial Intelligence, Media & Entertainment

Nadeem Mohammad, posted Mar 29 2017

Most people in the world own a camera and take photographs—trillions of photos every year. An imminent problem is how to organize, search and re-use our photographs, and deep learning methods have already been successful in such tasks.

Read more