NVIDIA Founder Jensen Huang and Chief Scientist Bill Dally received recognition in the UK for their work in AI and machine ...

Most major technology companies are knee-deep in machine learning these days. Alphabet 's(NASDAQ: GOOG) (NASDAQ: GOOGL) Google, Amazon, and Facebook (NASDAQ: FB) are just a few. Machine learning ...

We all know that NVIDIA is doing some cool thing in graphics as it relates to gaming, namely real-time ray tracing and Deep Learning Super Sampling (DLSS), courtesy of its Turing GPU architecture and ...

Nvidia has released a new version of TensorRT, a runtime system for serving inferences using deep learning models through Nvidia’s own GPUs. Inferences, or predictions made from a trained model, can ...

We recently published a list of the 10 Best Machine Learning Stocks to Buy Now. In this article, we are going to take a look at where NVIDIA Corporation (NASDAQ:NVDA) stands against other ...

Machine learning and artificial intelligence aren't easy things to grasp, but both are critically important for technology to march on, our surroundings to get smarter, and the digital assistants ...

NVIDIA created the “TITAN” line of products years ago to represent “the best” of everything the company brings to the PC platform. If you want the best and can afford it, NVIDIA suggests TITAN.

Nvidia has been more than a hardware company for a long time. As its GPUs are broadly used to run machine learning workloads, machine learning has become a key priority for Nvidia. In its GTC event ...

At a keynote at the GPU Technology Conference in Munich today, Nvidia, the video/graphics company turned Artificial Intelligence (AI) juggernaut, is today going another step forward in the AI ...

Forbes contributors publish independent expert analyses and insights. I write about disruptive companies, technologies and usage models. Jensen Huang took the GTC 2018 stage in his trademark leather ...

NVIDIA's GPUs are already powering some of the most advanced machine learning systems for technology companies -- and there's no sign of it slowing down. For example, Google uses its own TensorFlow ...