Robotic system zeroes in on objects most relevant for helping humans
A new approach could enable intuitive robotic helpers for household, workplace, and warehouse settings.
A new approach could enable intuitive robotic helpers for household, workplace, and warehouse settings.
Since an MIT team introduced expansion microscopy in 2015, the technique has powered the science behind kidney disease, plant seeds, the microbiome, Alzheimer’s, viruses, and more.
MIT engineers developed ultrathin electronic films that sense heat and other signals, and could reduce the bulk of conventional goggles and scopes.
Chemists could use this quick computational method to design more efficient reactions that yield useful compounds, from fuels to pharmaceuticals.
A new method could enable stretchable ceramics, glass, and metals, for tear-proof textiles or stretchy semiconductors.
Researchers have created a unifying framework that can help scientists combine existing ideas to improve AI models or create new ones.
TactStyle, a system developed by CSAIL researchers, uses image prompts to replicate both the visual appearance and tactile properties of 3D models.
The small and rocky lava world sheds an amount of material equivalent to the mass of Mount Everest every 30.5 hours.
Founded by MIT researchers, Senti Bio is giving immune cells the ability to distinguish between healthy and cancerous cells.
A new technique automatically guides an LLM toward outputs that adhere to the rules of whatever programming language or other format is being used.
MIT biologists have found that defects in some transfer RNA molecules can lead to the formation of these common conditions.
A comprehensive study of the U.S. system could help policymakers analyze methods of matching donated kidneys and their recipients.
By eliminating redundant computations, a new data-driven method can streamline processes like scheduling trains, routing delivery drivers, or assigning airline crews.
New research using computational vision models suggests the brain’s “ventral stream” might be more versatile than previously thought.
A new method from the MIT-IBM Watson AI Lab helps large language models to steer their own responses toward safer, more ethical, value-aligned outputs.