GTC19 news stories

Deep learning supposedly has the potential to help doctors cut down on diagnostic errors.

“By partnering with NVIDIA, we combine our strengths to augment human intelligence and realise the true potential of AI.” 

Integrating into game engines new features such as real-time ray tracing can accelerate the development process.

“TYAN servers with NVIDIA T4 GPUs are designed to excel at all accelerated workloads, including machine learning, deep learning, and virtual desktops.”

“Cognata and NVIDIA are creating a robust solution that will efficiently and safely accelerate autonomous vehicles’ market entry."

"With the platform now powered by NVIDIA DGX-2, customers can build smart analytical applications that combine historical data analytics and ML-powered analytics."

The tool leverages generative adversarial networks, or GANs, to convert segmentation maps into lifelike images.

“The dynamic nature and rapid expansion of AI workloads require an adaptive and optimised set of hardware, software and services for developers to utilise as they build their own solutions."

The cloud-based platform enables millions of miles to be driven in virtual worlds across a broad range of scenarios.

“Jetson Nano makes AI more accessible to everyone, and is supported by the same underlying architecture and software that powers the world's supercomputers.”

For situations that demand maximum photorealism and the highest visual fidelity, ray tracing provides reflections and accurate dynamic computations for global lighting.

“Our demonstration of the Nissan LEAF 2 is a significant step forward in showing that WeRide can help bring reliable, safe autonomous vehicles to market."

NGC is supposedly the hub of GPU-optimised software for deep learning.

The Palo Alto-based startup supposedly leverages facial recognition, 3D sensing, and machine learning to enable secure access control.

“Data science is one of the fastest growing fields of computer science and impacts every industry."

The new solution is a compact low profile pole or wall mountable unit based on an integration of ADLINK’s latest AI Edge Server MECS-7210 and Charles’ SC102 Micro Edge Enclosure. 

Businesses are realising they need AI at scale, and so enterprise IT teams are increasingly inserting themselves into their company’s AI agenda. 

“The rapid adoption of T4 on the world’s most popular business servers signals the start of a new era in enterprise computing."

Unlike traditional software, in deep learning, the data rather than the code is of the utmost importance.

With NVIDIA Clara, developers can speed up their medical imaging applications and implement AI.

Advance monitoring could lead to better disaster planning and evacuation warnings in the event of an eruption.