GTC Digital: AI / Deep Learning Presentations, Demos, and Posters

AI / Deep Learning, Computer Vision & Machine Vision, conference, Education & Training, Featured, GTC, Higher Education/Academia, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Mar 25 2020

Connect with industry leaders, deep learning researchers, and rising AI startups to learn about breakthroughs in computer vision, conversational AI, and more.

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NVIDIA Discounts Deep Learning Institute Training at GTC Digital

Top Stories, Development Tools & Libraries, Education & Training, Featured, GTC, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Mar 18 2020

As part of GTC Digital, the NVIDIA Deep Learning Institute (DLI) is ramping up the ability for developers, researchers, data scientists and students to receive online training at in their own homes, at discounted rates.

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Scale AI Training Using Uber’s Horovod Framework in New DLI Course

AI / Deep Learning, Education & Training, Featured, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Aug 15 2019

The course teaches you how to scale deep learning training to multiple GPUs using Horovod, an open-source distributed training framework originally built by Uber and hosted by the LF AI Foundation

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Language Learning App Uses AI to Adapt Its Teaching methods

Artificial Intelligence, Computer Vision & Machine Vision, Education & Training, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Jun 12 2018

Memrise, a UK based startup, whose language-learning application uses AI to adapt to its customers’ language learning needs, just raised $15.5 million in funding to expand their products.

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Pro Tip: cuBLAS Strided Batched Matrix Multiply

Research, Algorithms & Numerical Techniques, CUDA, Education & Training, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Feb 28 2017

There’s a new computational workhorse in town. For decades, general matrix-matrix multiply—known as GEMM in Basic Linear Algebra Subroutines (BLAS) libraries—has been a standard benchmark for computational performance.

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