Automatically Detect Nuclear Power Plant Cracks With Deep Learning

Research, Architecture/Engineering/Construction, CUDA, cuDNN, Energy/Oil & Gas, GeForce, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Manufacturing

Nadeem Mohammad, posted Feb 22 2017

Researchers from Purdue University developed a deep learning-based system to automatically detect cracks in the steel components of nuclear power plants and has been shown to be more accurate than other automated systems.

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AI Helps Autonomous Vehicles Locate Themselves

Research, Automotive, Big Data & Data Mining, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Feb 21 2017

Researchers at the NYU Tandon School of Engineering are developing an artificial intelligence system for autonomous vehicles that links them to HERE Live Map cloud-based mapping system.

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Tokyo Tech Building Fastest AI Supercomputer With NVIDIA Technology

News, Research, Cluster / Supercomputing, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Feb 17 2017

The Tokyo Institute of Technology announced they will be using NVIDIA’s accelerated computing platform to build Japan’s fastest AI supercomputer.

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Google Releases TensorFlow 1.0

News, Research, Algorithms & Numerical Techniques, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Software

Nadeem Mohammad, posted Feb 16 2017

Google recently announced the release of version 1.0 of its TensorFlow deep learning framework at their inaugural TensorFlow Developer Summit.

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Diagnosing Brain Tumors Quicker and with Higher Accuracy

Research, CUDA, cuDNN, GeForce, Healthcare & Life Sciences, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Medical Imaging

Nadeem Mohammad, posted Feb 09 2017

Neurosurgeons and pathologists from University of Michigan Medicine developed a new imaging technique that can be used in the operating room to diagnose brain tumors more efficiently.

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23,000 Atoms Mapped for First Time

Research, Cluster / Supercomputing, CUDA, Government / National Labs, Higher Education / Academia, Molecular Dynamics, Tesla

Nadeem Mohammad, posted Feb 06 2017

Scientists used an extremely high-resolution transmission electron microscope to capture 2D projections of the nanoparticle’s structure, and used an algorithm to stitch those together into a 3D reconstruction.

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Share Your Science: Earthquake Simulations at Extreme Scale

Research, Cluster / Supercomputing, CUDA, Geoscience, Government / National Labs, Higher Education / Academia, physics, Share Your Science, Tesla

Nadeem Mohammad, posted Feb 02 2017

Phil Maechling, a computer scientist at USC’s Southern California Earthquake Center shares how they are using the Tesla GPU-accelerated Titan and Blue Waters supercomputers with CUDA to analyze the impact of earthquakes and why and when they occur.

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AI Algorithm Diagnoses Rare Eye Condition

Research, CUDA, cuDNN, GeForce, Healthcare & Life Sciences, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Jan 31 2017

A group of Chinese ophthalmologists and scientists developed a deep learning algorithm to identify congenital cataracts, a rare eye disease responsible for nearly 10 percent of all vision loss in children worldwide.

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Algorithm Identifies Skin Cancer as Accurately as a Dermatologist

Features, Research, CUDA, cuDNN, GeForce, Healthcare & Life Sciences, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Jan 25 2017

Stanford researchers developed a deep learning-based algorithm to visually diagnose potential cancer.

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Share Your Science: Extracting Information from Images

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

Nadeem Mohammad, posted Jan 19 2017

Anton van den Hengel, director of The University of Adelaide’s Australian Centre for Visual Technologies shares how his research group is working on Visual Question Answering (VQA) which uses deep learning to understand the contents of an image.

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