This study presents valuable findings by reanalyzing previously published MEG and ECoG datasets to challenge the predictive nature of pre-onset neural encoding effects. The evidence supporting the ...

Explore the top 10 new and promising API testing tools in 2025-2026 that are transforming the testing landscape.

Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...

AI is transforming research. These AI tools for research will help you keep up with the times and take your research to the next level.

University of Birmingham experts have created open-source computer software that helps scientists understand how fast-moving ...

Coders have had a field day weeding through the treasures in the Claude Code leak. "It has turned into a massive sharing party," said Sigrid Jin, who created the Python edition, Claw Code. Here's how ...

Anthropic accidentally leaked some source code for Claude Code, its AI-powered coding assistant. The company said the leak did not include sensitive customer data or credentials. Anthropic recently ...

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Anthropic employee accidentally leaked Claude Code source via npm map file Leak exposed 1,900 ...

Explore the top AI certifications to boost your career and validate your AI skills. Find the best programs in machine ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Machine learning projects aren’t just practice—they’re your ticket to proving skills, landing jobs, and staying relevant in a fast-changing AI world. From beginner-friendly models to complex, industry ...

WSJ’s Kate Clark demonstrates how Anthropic’s new Cowork tool can help non-coders automate their lives–or at least attempt to. Photo: Claire Hogan/WSJ Anthropic is racing to contain the fallout after ...