Better living through multicellular life cycles
Researchers reveal how an algae-eating bacterium solves an environmental engineering challenge.
Building explainability into the components of machine-learning models
Researchers develop tools to help data scientists make the features used in machine-learning models more understandable for end users.
Could carbon monoxide foam help fight inflammation?
Foams that incorporate small amounts of the gas could be delivered to the GI tract to combat colitis and other conditions.
Researchers pioneer a new way to detect microbial contamination in cell cultures
An anomaly-detection model developed by SMART utilizes machine learning to quickly detect microbial contamination.
Robot overcomes uncertainty to retrieve buried objects
This robotic system uses radio frequency signals, computer vision, and complex reasoning to efficiently find items hidden under a pile.
Exploring emerging topics in artificial intelligence policy
The second AI Policy Forum Symposium convened global stakeholders across sectors to discuss critical policy questions in artificial intelligence.
Tissue model reveals key players in liver regeneration
By tracing the steps of liver regrowth, MIT engineers hope to harness the liver’s regenerative abilities to help treat chronic disease.
MIT-WHOI Joint Program announces new leadership
Ed Boyle to step down as director; Mick Follows will take over the directorship in July.
Taking the guesswork out of dental care with artificial intelligence
MIT alumni-founded Overjet analyzes and annotates dental X-rays to help dentists offer more comprehensive care.
Q&A: Neil Thompson on computing power and innovation
Rapid increases in the speed and power of microchips have fueled innovation in many industries, but the future trajectory of that incredible progress may be in jeopardy.