AI medication dosing errors appear in 1 in 50 answers across nine widely used large language models, with 3.4% of mistakes ...
A new framework called SMS-RAG schedules semantic, structural, and episodic memory during reasoning, outperforming existing ...
A new review in Discover Artificial Intelligence finds that bias detection and fairness auditing techniques for large ...
Measuring the cybersecurity of AI models gets complex fast, with metrics focused on different variables in the AI security ...
By Devyani Gupta, Co-founder and CEO, Arrowhead AI There is a tendency in the AI industry to measure progress by the size of ...
Newswise — Over the past few years, progress in large language models has often been associated with a single word: bigger. Larger parameter counts. Larger training datasets. Larger computational ...
This study introduces MathEval, a comprehensive benchmarking framework designed to systematically evaluate the mathematical reasoning capabilities of large language models (LLMs). Addressing key ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Artificial Analysis launches AA-Robotics v0.1. GPT-6 Astra leads with 69.4/100, but AI models remain roughly 100x slower than ...
Reflection AI has unveiled Beam, a large language model it says will ship with open weights, in a post on its own blog dated October 5, 2026. The model is aimed at coding, reasoning, and agent work.
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