Artificial Intelligence System Comprehends Text Like Humans Do

Research, cuDNN, GeForce, Internet / Communications, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Jun 09 2016

Maluuba, a Canadian artificial intelligence startup, created a system that can read, comprehend and reason, almost as well as humans. Their deep learning-based program called EpiReader is designed to solve a specific kind of comprehension task: a word is removed from a block of text and then the system is able to determine the missing

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Analyzing Scientific Data from Mars with Deep Learning

Research, Big Data & Data Mining, CUDA, cuDNN, Higher Education / Academia, Machine Learning & Artificial Intelligence, Material Science, Robotics

Nadeem Mohammad, posted Jun 07 2016

Researchers from University of Massachusetts Amherst and Mount Holyoke College received a four-year grant from the National Science Foundation to analyze images and data on the chemical composition of rocks and dust from NASA’s Curiosity rover. The rover has been exploring a crater on Mars since 2012 and sends back large amounts of data collected

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Baking With OptiX

OptiX, GameWorks Expert Developer

Dylan Lacewell, posted Jun 07 2016

Games often precompute ambient occlusion (AO) or other static lighting and bake out the results into vertex or texture data that is loaded into OpenGL or DirectX shaders later. Raytracing is the core computation of such a baking pipeline. However, writing a production-quality GPU ray tracer from scratch takes a fair amount of time and expertise.

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Share Your Science: Simulating Smoke Propagation in Real-Time with OpenACC

Research, Computational Fluid Dynamics (CFD), Higher Education / Academia, OpenACC, Share Your Science, Tesla

Nadeem Mohammad, posted Jun 03 2016

Anne Severt, PhD student at Forschungszentrum Jülich in Germany shares how she is using NVIDIA Tesla K80s and OpenACC with complex geometries to create real-time simulations of smoke propagation to better prepare firefighters for real-life situations – such as where smoke will be propagating from underground metro stations over time. To learn more, view Anne’s

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Stanford’s Social Robot ‘Jackrabbot’ Seeks to Understand Pedestrian Behavior

Research, Computer Vision & Machine Vision, CUDA, Higher Education / Academia, Image Processing, Machine Learning & Artificial Intelligence, Robotics, Tesla

Nadeem Mohammad, posted Jun 03 2016

Stanford researchers in the Computational Vision and Geometry Lab developed a robot that could soon autonomously move among us with normal human social etiquettes — such as deciding rights of way on the sidewalk. Using a Tesla K40 GPU and CUDA to train the machine learning models, the robot is able to understand its surroundings

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