Biodiversity researchers tested vision systems on how well they could retrieve relevant nature images. More advanced models performed well on simple queries but struggled with more research-specific prompts.

MIT engineers developed AI frameworks to identify evidence-driven hypotheses that could advance biologically inspired materials.

A small fleet of autonomous surface vessels forms a large sonar array for finding submerged objects.

An electronic stacking technique could exponentially increase the number of transistors on chips, enabling more efficient AI hardware.

The company has announced that it will build the first grid-scale fusion power plant in Chesterfield County, Virginia.

With models like AlphaFold3 limited to academic research, the team built an equivalent alternative, to encourage innovation more broadly.

Sensors developed by SMART researchers are capable of detecting pH changes in plant xylem enable farmers to detect drought stress up to 48 hours before visible physical symptoms manifest.

Researchers at MIT, NYU, and UCLA develop an approach to help evaluate whether large language models like GPT-4 are equitable enough to be clinically viable for mental health support.

The “PRoC3S” method helps an LLM create a viable action plan by testing each step in a simulation. This strategy could eventually aid in-home robots to complete more ambiguous chore requests.

A better understanding of construction industry stakeholders’ motivations can lead to greater adoption of circular practices.