Method combines genomics technologies with computational modeling to predict changes in multicellular behavior, such as cell communication.

Mass General Brigham researchers found that targeted prompts reduced the likelihood of stigmatizing language in LLMs when ...

Oxford researchers have found that two of the most influential free AI chat models will give users different answers on factual topics based on factors such as their ethnicity, gender, or age. In one ...

Across the tech ecosystem, organizations are coalescing around a shared vision: The smarter future of AI lies at the edge.

Diagram Question Answering (DQA) is a challenging task, requiring models to answer natural language questions based on visual diagram contexts. It serves as a crucial basis for academic tutoring, ...

In high-stakes situations like health care—or weeknight "Jeopardy!"—it can be safer to say "I don't know" than to answer incorrectly. Doctors, game show contestants, and standardized test-takers ...

The causal capabilities of large language models (LLMs) is a matter of significant debate, with critical implications for the use of LLMs in societally impactful domains such as medicine, science, law ...

In software development, requirements, normally written in natural language, are documents that specify what users want in software products. Software developers then analyze these requirements to ...

We examine the labor market effects of AI chatbots using two large-scale adoption surveys (late 2023 and 2024) covering 11 exposed occupations (25,000 workers, 7,000 workplaces), linked to matched ...

New techniques are reimagining how LLMs reason. By combining symbolic logic, mathematical rigor, and adaptive planning, these methods enable models to tackle complex, real-world problems across a ...