Categories: AI/ML News

Benchmarking framework reveals major safety risks of using AI in lab experiments

While artificial intelligence (AI) models have proved useful in some areas of science, like predicting 3D protein structures, a new study shows that it should not yet be trusted in many lab experiments. The study, published in Nature Machine Intelligence, revealed that all of the large-language models (LLMs) and vision-language models (VLMs) tested fell short on lab safety knowledge. Overtrusting these AI models for help in lab experiments can put researchers at risk.

Student-powered machine learning

From their early days at MIT, and even before, Emma Liu '22, MNG '22, Yo-whan “John” Kim '22, MNG '22, and Clemente Ocejo '21, MNG '22 knew they wanted to perform computational research and explore artificial intelligence and machine learning. “Since high school, I’ve been into deep learning and was…

August 31, 2022

AI can seem more human than real humans in a classic Turing test

A new University of California San Diego study unveils the first empirical evidence that a modern artificial intelligence system can pass the Turing test—a major scientific benchmark that asks whether a machine can imitate human conversation so convincingly that people can't reliably tell it apart from a real person. In…

May 20, 2026

In "AI/ML News"

AI speeds up discovery of next-gen computer chips and electronic materials

An international study team, led by Flinders University in collaboration with Khalifa University UAE, built the machine-learning platform to act like a "smart materials discovery engine," which is capable of dramatically reducing the time spent on complex computer or lab experiments to test and find new materials for future semiconductors.

May 26, 2026

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AI Generated Robotic Content