Machine Learning Research
A Research Agent for All Biology: Biomni, an AI agent for multidisciplinary biology research
An agent designed for broad biological research could accelerate the work of scientists in specialties from anatomy to zoology.
Machine Learning Research
An agent designed for broad biological research could accelerate the work of scientists in specialties from anatomy to zoology.
Tech & Society
AI’s thirst for energy is growing, but the technology also could help produce huge energy savings over the next five to 10 years, according to a recent report.
Business
The world’s biggest pharmaceutical company by revenue shed light on its AI strategy.
Tech & Society
A pair of papers investigate how increasingly human-like chatbots affect users’ emotions.
Science
Materials that have specific properties are essential to progress in critical technologies like solar cells and batteries. A machine learning model designs new materials to order.
Machine Learning Research
An AI agent synthesizes novel scientific research hypotheses. It's already making an impact in biomedicine.
Science
To date, efforts to decode what people are thinking from their brain waves often relied on electrodes implanted in the cortex. New work used devices outside the head to pick up brain signals that enabled an AI system, as a subject typed, to accurately guess what they were typing.
Machine Learning Research
Harvard University amassed a huge new text corpus for training machine learning models.
Machine Learning Research
Building a foundation model takes tremendous amounts of data. In the coming year, I hope we’ll enable models to learn more from less data.
Machine Learning Research
How do agents based on large language models compare to human experts when it comes to proposing machine learning research? Pretty well, according to one study.
Science
A man who lost the ability to speak four years ago is sounding like his earlier self, thanks to a collection of brain implants and machine learning models.
Generative AI
While some observers argue that large language models can’t produce truly original output, new work prompted them to generate novel scientific research.