Computer Vision / Video Analytics

Developer News Weekly Top 5 Video: 1/21

In this week’s edition of the Developer Top 5.
We revisit the top developer stories of the week.
From a new GPU-accelerated supercomputer in France, new AI NGC containers, to cutting edge medical research.

5 – France To Install a New GPU-Accelerated Supercomputer

France’s Institute for Development and Resources in Intensive Scientific Computing has just announced plans to build a new GPU-accelerated supercomputer designed for AI workloads.
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4 – What’s New for AI Containers on NVIDIA GPU Cloud

NGC is a single source for researchers seeking access to deep learning frameworks, HPC applications, and visualization tools essential for their scientific workflows.
This article summarizes the most important improvements to our AI Framework Containers from the last three releases, 19.01 ( published today), 18.12, and 18.11.
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3 – NIH Develops AI that Can Help With Cervical Cancer Screening

According to the National Institutes of Health (NIH), cervical cancer is third most common cancer among women and the second most frequent cause of cancer-related death, with 80% of cervical cancer cases occurring in developing nations with limited access to cervical cancer screening.
To help alleviate the problem, researchers from the NIH and intellectual Ventures Global Good Fund developed a deep learning-based proof-of-concept that can automatically evaluate cervical images for cancer.
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2 -AI Helps Detect Irregular Heartbeats

According to the Centers for Disease Control, an estimated 2.7 to 6.1 million people in the U.S. have Atrial Fibrillation, the most common type of an irregular heartbeat.
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1 – TITAN RTX Slashes Time for Detecting Osteoporosis

Sometimes simply upgrading your GPU can lead to massive performance improvements. The most recent example comes from a team of researchers at Dartmouth College who upgraded from a TITAN Xp GPU to the newly released NVIDIA TITAN RTX.
Running their existing code on the new GPU, the team achieved an 80% performance increase when training a pair of neural networks to detect osteoporotic vertebral fractures.
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