Let the supercomputing games begin. In an around-the-clock race spanning two days, the annual Supercomputing Conference Student Cluster Competition will feature 16 teams of undergraduates tackling real-world computing workloads using NVIDIA Tesla ...

Radiology leaders have gathered for over 100 years running at RSNA, the annual meeting of the Radiological Society of North America, to discuss the industry’s latest challenges and opportunities. In recent years, AI in medical imaging has become a ...

In vitro fertilization, a common treatment for infertility, is a lengthy undertaking for prospective parents, involving ultrasounds, blood tests and injections of fertility medications. If the process doesn’t end up in a successful pregnancy — which ...

With lives at stake, and the clock ticking, mastering disaster may be the ultimate AI challenge. Teams from Johns Hopkins University, Lockheed Martin, the U.S. Department of Defense’s Joint Artificial Intelligence Center and NVIDIA Wednesday ...

When Megan Gray, CEO of Moment AI, first tested one of her company’s services — a tool using AI to determine facial signs indicating a driver may have fallen asleep or suffered a medical issue — it didn’t work. “The technology worked on our CTO, who ...

Neither snow nor rain nor heat nor gloom of night stays the coming of autonomous vehicle technology, according to the U.S. Postal Service. The USPS Wednesday discussed the results of its autonomous mail delivery pilot with NVIDIA DRIVE ecosystem ...

Air quality is a vastly underestimated problem, said NASA research scientist Christoph Keller in a talk at this week’s GTC DC, the Washington edition of NVIDIA’s GPU Technology Conference. Nine in 10 people breathe polluted air, and millions of ...

Pathologists agreed just three-quarters of the time when diagnosing breast cancer from biopsy specimens, according to a recent study. The difficult, time-consuming process of analyzing tissue slides is why pathology is one of the most expensive ...

Those who are keeping score in AI know that NVIDIA GPUs set the performance standards for training neural networks in data centers in December and again in July. Industry benchmarks released today show we’re setting the pace for running those AI ...

NVIDIA today posted the fastest results on new benchmarks measuring the performance of AI inference workloads in data centers and at the edge — building on the company’s equally strong position in recent benchmarks measuring AI training.