Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

Berkeley Lab’s new Doudna supercomputer, built by Dell, will fuse scientific simulations with cutting-edge AI performance.

The year 2025 so far has already delivered a dynamic lineup of books that span adventure, history, self-help, and ...

This repo contains the code for the O'Reilly Media, Inc. book "Hands-on Unsupervised Learning Using Python: How to Build Applied Machine ... datasets to discover meaningful patterns buried deep in the ...

Abstract: Deep learning has achieved remarkable success in numerous domains with help from large amounts of big data. However, the quality of data labels is a concern because of the lack of ...

Bridge the gap between deep learning and business value. Learn how to plan, deliver, and deploy real AI projects. Breakdown of Sean ‘Diddy’ Combs’ 4th day on trial US set to kill off tech ...

Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and ...

Abstract: Recently, crowdsourced geographic data have provided a cost-effective approach to learn deep convolutional neural networks (DCNNs) for road extraction from remote-sensing images. However, ...

VP of Deep Learning Software, NVIDIA "At Snowflake, we believe that empowering the AI community is fundamental, and strengthening the open, vendor-neutral foundation around pivotal projects like ...

It may look like a netbook from 10 years ago, but the OneChipBook-12 from “8086YES!” is instead an Altera Cyclone EP1C12Q FPGA development platform with a VGA display (LCD form iPad 2), a PS/2 QWERTY ...