Automated Analysis of Disaster Damage

Research, cuDNN, GeForce, Higher Education / Academia, Image Recognition

Nadeem Mohammad, posted Oct 28 2016

Researchers from Purdue University are using deep learning to dramatically reduce the time it takes for engineers to assess damage to buildings after disasters. Engineers need to quickly document the damage to buildings, bridges and pipelines after a disaster. “These teams of engineers take a lot of photos, perhaps 10,000 images per day, and these

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AI-Powered ‘Nightmare Machine’ Generates Horrifying Images

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

Nadeem Mohammad, posted Oct 27 2016

MIT researchers developed an algorithm trained to generate horrifying images in an attempt to find the scariest faces and locations possible, and then rely on humans to see which approach makes the freakiest images. Using TITAN X GPUs and cuDNN to train their deep learning models, the researchers used the infamous style transfer technique and

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Analyzing Video Content to Display Related Advertisements

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

Nadeem Mohammad, posted Oct 26 2016

Taiwanese startup Viscovery recently raised $10M to further develop their Artificial Intelligence system that scans the video content you’re watching and then brings up a relative ad. Using CUDA, TITAN X Pascal GPUs and cuDNN to train their deep learning models, their Video Discovery Service is able to detect the content in videos, including face,

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Facial Recognition as a Service for Businesses

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

Nadeem Mohammad, posted Oct 21 2016

Russia’s NTechLab, one of the world’s leading facial recognition companies, released a new product called FindFace.Pro that allows businesses to easily integrate their cloud-based REST API into existing products. NVIDIA products are used extensively in the technology. The team is using CUDA, GeForce GTX 1080 GPUs, TITAN X GPUs and cuDNN-accelerated deep learning frameworks to

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Texas A&M Launches New GPU-Accelerated Supercomputer

News, Research, Climate/Weather/Ocean Modeling, Cluster / Supercomputing, Geoscience, Higher Education / Academia, Material Science, Tesla

Nadeem Mohammad, posted Oct 20 2016

Texas A&M installed a new $2.1 million supercomputer with 10 times the processing power of their previous system Eos, which was launched in 2009. Nicknamed “Terra,” the new supercomputer will support projects that include developing new materials, discovering new drugs, forecasting storm surges and managing energy resources. “Terra represents a new supercomputer iteration deployed at

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