AI, machine learning, and deep learning are terms that are often used interchangeably. But they are not the same things. Here’s a look at what these terms mean, and why they’re important.
If you haven’t yet heard of generative adversarial networks, don’t worry, you will. The hottest topic in deep learning, GANs, as they’re called, have the potential to create systems that … Read article >
With the right data you can apply machine learning techniques, not to television contests and board games, but to our own complex problems and businesses.
Let’s break let’s break down the progression from deep-learning training to inference in the context of AI how they both function.
What Is Automotive Grade? Here’s what separates the automobile you drive every day — and the computers we build for them — from everyday consumer electronics.
GPUs have helped researchers spark a deep-learning revolution that’s given computers super-human capabilities. They’ve already enabled breakthrough results on the industry-standard ImageNet benchmark. They’re powering Facebook’s “Big Sur” deep learning … Read article >
To an untutored eye, they’re a multicolored collection of boxes,blocks and numbers. To a seasoned observer, they’re data readings from fisheye cameras, lidar and other sensors. But to an autonomous … Read article >
PC and workstation users have long relied on NVIDIA graphics. It’s thanks to their ability to do many tasks at once—or in parallel—that people can use complex video and graphics … Read article >