WIRED spoke with Boris Cherny, head of Claude Code, about how the viral coding tool is changing the way Anthropic works.

Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...

If you are planning a trip through several cities and want to find the shortest route, you resort to algorithms, a well-defined sequence of deterministic operations. This article accompanies the ...

A new digital system allows operations on a chip to run in parallel, so an AI program can arrive at the best possible answer more quickly.

GluonTS is a Python toolkit for probabilistic time series modeling, built around Apache MXNet (incubating). GluonTS provides utilities for loading and iterating over time series datasets, state of the ...

To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

Abstract: Post-training quantization (PTQ) is an effective solution for deploying deep neural networks on edge devices with limited resources. PTQ is especially attractive because it does not require ...

Abstract: Most existing studies on probabilistic analysis of small-signal stability (PASS) of power systems affected by wind power generations ignore the intrinsic phenomenon in wind farms (WFs), i.e.

The Oklahoma Court of Criminal Appeals has unanimously affirmed the use of BulletProof, a probabilistic genotyping software program, in the assault and battery trial of Patrick Marquise Napoleon, who ...