This closed-loop degradation is driven by a foundational flaw in algorithmic auditing: the unchecked amplification of systemic bias. When machine learning models train on synthetic data generated by ...

I didn’t even realize that those were questions you could ask,” he says, “and then that there were philosophical disciplines ...

Latest AI mystery is that there are 11 specific nouns used frequently by LLMs when creating short stories. Why those words?

Silo Season 3 dropped on Apple TV+ at 3:00 AM ET today, July 3, and its premiere episode, "Who Are You?", contained a scene that research published in 2025 makes disturbingly current: a fabricated ...

Quantum materials, materials exhibiting physical behavior governed by the laws of quantum mechanics, have proved promising ...

Buy-side firms rank sell-side trading desk coverage as their top counterparty selection factor after execution quality, ...

Loop engineering, a new phrase circulating among AI developers, is becoming a way to describe how software teams are trying to get more value from coding agents: not by writing better one-off prompts, ...

Microsoft CEO Nadella argues learning loops beat picking the best AI model. Here's what a learning loop is, why it builds a ...

Abstract: Efficient rigid-body dynamics algorithms are instrumental in enabling high-frequency dynamics evaluation for resource-intensive applications (e.g., model-predictive control, large-scale ...

ABSTRACT: Many controlled processes, such as biochemical ones, are repetitive, similar to batch-organized processes. They generate Optimal Control Problems (OCPs) solved by optimal controllers, which ...

AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck ...