Browsing: AI & Robotics

Computational reproducibility poses a significant challenge in scientific research across various fields, including psychology, economics, medicine, and computer science. Despite…

A new study from researchers at MIT and Penn State University reveals that if large language models were to be…

Personalization is essential in many language tasks, as users with similar needs may prefer different outputs based on personal preferences.…

For more than 100 years, scientists have been using X-ray crystallography to determine the structure of crystalline materials such as…

Efficient optimization of large-scale deep learning models remains a significant challenge as the cost of training large language models (LLMs)…

Apple co-founder Steve Jobs described the computer as a bicycle for the mind. What the Martin Trust Center for MIT Entrepreneurship just launched…

AI safety frameworks have emerged as crucial risk management policies for AI companies developing frontier AI systems. These frameworks aim…

In order to train more powerful large language models, researchers use vast dataset collections that blend diverse data from thousands…

AI Control assesses the safety of deployment protocols for untrusted AIs through red-teaming exercises involving a protocol designer and an…

To the untrained eye, a medical image like an MRI or X-ray appears to be a murky collection of black-and-white…