Google recently released DiffusionGemma, and it's weird in the best way.

With the proper setup and guidance, you can have Claude Code, Codex, Posit Assistant, and other coding agents writing R code ...

Look to these key metrics and benchmarks to evaluate the performance, capability, reliability, and safety of your AI models ...

Summary: A new cognitive evaluation of artificial intelligence has unmasked a fundamental, systemic flaw running through large language model (LLM) attention mechanisms. By administering the classic ...

Amir is the Segment Lead for Software at MUO. He's a PharmD student who loves looking at numbers and spreadsheets. Inspired by his father's hobbies, Amir developed a knack for DIY projects and built ...

Abstract: Software unit testing is a critical verification step to ensure the correctness and reliability of software. However, manual writing of test cases is a time-consuming and error-prone process ...

Forensic-LLM combines web scraping with AI-powered analysis to help legal researchers, lawyers, and forensic analysts efficiently extract and analyze evidence from Indian court judgments. Forensic LLM ...

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Deploying AI agents for repository-scale tasks like bug detection, patch verification, and code review requires overcoming significant technical hurdles. One major bottleneck: the need to set up ...

According to Ethan Mollick on X, researchers released an LLM trained entirely from scratch on over 28,000 Victorian-era British texts (1837–1899) sourced from the British Library dataset, positioning ...

The core of artificial intelligence (AI) and large language models (LLMs) comes down to one thing: high-quality data. Sure, algorithms and computing power matter, but the actual performance of AI ...