Scientists at BitEnergy AI created a method called "Linear-complexity multiplication" (L-Mul) that replaces complex floating-point multiplications in AI models with simpler integer additions.

A new Harvard study draws parallels between large language models (LLMs) and crowdsourcing. The research shows why AI systems often provide correct answers on general topics but tend to make mistakes ...

Researchers at Johns Hopkins University have developed an AI model called RATIONALYST that improves the reasoning capabilities of large language models through implicit rationales. The team used a pre ...

A large-scale study involving over 100 natural language processing researchers reveals that AI-generated research ideas are considered more novel than those from human experts. However, the ...

Qualcomm says the software will act as a go-between for personal information, apps, and on-device AI models. It's designed to combine data like favorite foods, workout routines, and frequent contacts ...

A new study has uncovered significant gaps in the reasoning abilities of AI language models, especially smaller and cheaper ones. These models struggle with chained elementary-level math problems.

According to a recent study, people view headlines labeled as "AI-generated" as less trustworthy and are less likely to share them - even if the content is accurate or was created by humans. They ...

International researchers have compiled MOSEL, a comprehensive open-source speech data collection for the 24 official EU languages. The project aims to advance the development of open AI language ...