The time that it took to discover the COVID-19 vaccine is a testament to the pace of innovation in the healthcare industry. Pace of innovation can be directly linked to the thriving innovator ecosystem and the large number of AI-based healthcare startups. In comparison, the 5G wireless industry takes approximately a decade to introduce next … Continued
This demonstration released at GTC Digital 2020 uses RAPIDS, and OmniSci’s GPU-accelerated analytics platform to quickly visualize and run queries on the 1.1 billion New York City taxi ride dataset.
Clara Parabricks v3.7 supports gene panels, RNA-Seq, short tandem repeats, and updates to GATK (4.2) and DeepVariant (1.1), and PON support for Mutect2.
NVIDIA and partners have been working hard to get the NVIDIA Arm HPC Developer Kit units into the hands of developers and enhance the software stack.
To help in the development of a treatment or vaccine for Coronavirus, University of Texas at Austin and National Institute of Health (NIH) researchers recently achieved a critical breakthrough—creating the first 3D, atomic-scale map of the virus.
In this talk, Steven Parker, Vice President of Professional Graphics at NVIDIA walks his audience through the history of ray tracing at NVIDIA, starting in 2008 when he joined the company.
Researchers, engineers, and data scientists can use A30 to deliver real-world results and deploy solutions into production at scale.
The NVIDIA platform, powered by the A100 Tensor Core GPU, delivers leading performance and versatility for accelerated HPC.
Learn how to train your own gesture recognition deep learning pipeline. We’ll start with a pre-trained detection model, repurpose it for hand detection, and use it together with the purpose-built gesture recognition model.
Game and professional visualization developers need the best tools to create the best games and real-time interactive content. Read this article to find out what NVIDIA technologies will provide developers optimal real time ray tracing within their workflows.
Machine learning at scale can deliver powerful, predictive capabilities to millions of users, but it hinges on overcoming two key challenges across on-prem or cloud infrastructure – speeding up pre-processing of massive volumes of data and accelerating compute intensive model training.
NVIDIA DOCA SDK, a Data Center-on-a-Chip Architecture that provides developers with an easy way to program the BlueField DPU.
NVIDIA Optical Flow SDK exposes the APIs to use this Optical Flow hardware (also referred to as NVOFA) to accelerate applications.
Here are the latest resources and news for healthcare developers from GTC 21, including demos and specialized sessions for building AI in drug discovery, medical imaging, genomics, and smart hospitals.
This post discusses infrastructure factors to consider, such as performance, hardware, and types of AI software for implementing a fraud prevention strategy.
