AI data centers require incredible amounts of energy to run. NPR's Planet Money investigates how that demand for power might affect your electric bills. Tech companies invested hundreds of billions of ...

Abstract: Graph Convolutional neural Networks (GCNs) demonstrate exceptional effectiveness when working with data that have non-Euclidean structures. In recent years, numerous researchers have ...

Data centers create new jobs, use significantly less water than the clothing and beef industries, and don't drive up electricity rates. Data centers have become an essential part of powering our daily ...

Graphs are everywhere. From technology to finance, they often model valuable information such as people, networks, biological pathways and more. Often, scientists and technologists need to come up ...

“AI” needs a lot of computing resources, which is why new data centers are cropping up anywhere there’s cheap land. But powering all those hungry servers takes a lot of energy, and overburdened power ...

The huge demand for energy to power data centers will be a key focus for antitrust regulators in the future, a former top official at the U.S. Justice Department’s trustbusting division said.

It’s easy to get caught up in technology wars—Python versus Java versus NextBigLanguage—but the hardest part of AI isn’t the tools, it’s the people. Domain knowledge, skills, and adoption matter more ...

Abstract: Advanced Vector Extensions 512 (AVX-512), a modern SIMD instruction set for x86 architectures, enables data-level parallelism through 512-bit wide ZMM registers capable of processing ...

Reliance on fossil fuels is almost unavoidable — at least for now. By Evan Gorelick It’s been a big week for A.I. data centers. That means it’s also been a big week for coal and natural gas. Nvidia ...

Creating simple data classes in Java traditionally required substantial boilerplate code. Consider how we would represent Java’s mascots, Duke and Juggy: public class JavaMascot { private final String ...