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AI Helps Manufacturers Identify Product Defects

News, Cloud, cuDNN, GeForce, Image Recognition, Machine Learning & Artificial Intelligence, Manufacturing, Tesla

Nadeem Mohammad, posted Jun 22 2017

A California-based startup called Instrumental developed an intelligent AI inspection system to help manufactures identify product defects on the assembly line. The California-based startup, founded by two form Apple engineers have raised over $10 million to make it easier to manufacture electronics and head off complicated problems before they start costing companies thousands of dollars

Nsight Visual Studio Edition 5.3 released with support for OpenVR/HTC Vive, Visual Studio 2017, and Microsoft Hybrid laptops

Nsight Visual Studio Edition, GameWorks

Robert Bischof, posted Jun 21 2017

Nsight Visual Studio Edition 5.3 is available for download under the NVIDIA Registered Developer Program.

This release provides developers frame debugging and profiling support for Direct3D 9/11/12, OpenGL, and Vulkan applications with newly added support for OpenVR, Visual Studio 2017, Microsoft Hybrid laptops, and the latest Pascal GPUs.

Predicting Bond Energies with AI

Research, Computational Chemistry, cuDNN, Healthcare & Life Sciences, Higher Education / Academia, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Jun 20 2017

University of Notre Dame researchers developed a deep learning-based system that can accurately determine bond energies. “Neural networks can be used to make quantitative models of chemical concepts that are not possible with just quantum mechanics,” explains John Parkhill, Assistant Professor of Chemistry & Biochemistry at the University of Notre Dame in Indiana and co-author

Unified Memory for CUDA Beginners

Features, Beginner, CUDA C++, Kepler, pascal, Unified Memory

Nadeem Mohammad, posted Jun 19 2017

My previous introductory post, “An Even Easier Introduction to CUDA C++“, introduced the basics of CUDA programming by showing how to write a simple program that allocated two arrays of numbers in memory accessible to the GPU and then added them together on the GPU. To do this, I introduced you to Unified Memory, which […]

Developer Voices

News, Developer Voices

Nadeem Mohammad, posted Jun 16 2017

We love seeing all of the NVIDIA GPU-related tweets – here’s some that we came across this week: When you receive news that you get 45k extra to spend on GPU hardware. #bayer #deeplearning pic.twitter.com/3on4R0jydh — Ken Heyndrickx (@KenScience) June 10, 2017 Great to be working Just landed on my desk! More #GPU power for

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