How LinkedIn replaced five feed retrieval systems with one LLM model — and what engineers building recommendation pipelines can learn from the redesign.

This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to combine benchmarks, automated evaluation pipelines, and human review to ...

A Combination of Techniques Leads to Improved Friction Stir Welding The NESC developed several innovative tools and ...

Dozens of Telegram channels reviewed by WIRED include job listings for “AI face models.” The (mostly) women who land these ...

More seriously, lawyers and judges have suffered reputational damage through citations of AI-hallucinated cases that do not ...

Elon Musk unveils “Macrohard,” a Tesla and xAI AI system designed to perform complex computer tasks and potentially replicate the functions of software companies.

Overview: Automated Python EDA scripts generate visual reports and dataset summaries quicklyLibraries such as YData Profiling ...

Software demos and Pentagon records detail how chatbots like Anthropic’s Claude could help the Pentagon analyze intelligence and suggest next steps.

Anthropic launches the Anthropic Institute to study AI’s impact on jobs, governance, and security as the company warns rapid advances could reshape society.

Researchers show AI can learn a rare programming language by correcting its own errors, improving its coding success from 39% to 96%.

There's a lot more to a model than just benchmarks.

The Azure Kubernetes Service (AKS) team at Microsoft has shared guidance for running Anyscale's managed Ray service at scale. They focus on three key issues: GPU capacity limits, scattered ML storage, ...