When federal researchers tried to build an AI model to detect fraud in disability claims, they ran into a roadblock: they ...

In a data-driven world, pauses in government economic data do more than inconvenience economists, they create dangerous blind spots for investors and business leaders.

As climate change produces ever more heat waves, how many homes in the U.S. lack adequate cooling? Who's most vulnerable to ...

In real-world, multi-step tasks, generative AI's inherent lack of control is a critical flaw. Because the AI produces ...

Can ChatGPT anticipate crypto crashes? Learn how AI tracks market stress through data and sentiment analysis to strengthen risk awareness.

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

Worried about your business's data? Apriel 2.0 is aimed at federal agencies and tightly regulated industries like healthcare and finance that want AI agents with less risk.

Artificial intelligence (AI) and machine learning (ML) are now embedded in the core of banking — powering decisions in credit, fraud, ...

Abstract: This paper describes software for designing homodesmic reactions using the example of a cyclic compound of cyclobutanecarbonitrile. The homodesmic method showed high reliability of the ...

Abstract: Deep models excel in analyzing image data. However, recent studies on Black-Box Model Inversion (MI) Attacks against image models have revealed the potential to recover concealed (via ...