How the brain distinguishes between ambiguous hypotheses
Neural activity patterns can encode competing hypotheses about which landmark will lead to the correct destination.
Neural activity patterns can encode competing hypotheses about which landmark will lead to the correct destination.
The approach could help animators to create realistic 3D characters or engineers to design elastic products.
Focused research organizations (FROs) undertake large research efforts and have begun to yield scientific advances.
MIT study finds an easily measurable brain wave shift may be a universal marker of unconsciousness under anesthesia.
Researchers developed an algorithm that lets a robot “think ahead” and consider thousands of potential motion plans simultaneously.
The magnetic state offers a new route to “spintronic” memory devices that would be faster and more efficient than their electronic counterparts.
Biofilms deposited by living organisms reduce the accumulation of small particles, while areas of bare sand can be microplastics hotspots.
The method’s overall carbon emissions are on par with those of other green hydrogen technologies.
MIT engineers developed a technique for making intricate structures with supports that can be dissolved and reused instead of thrown away.
With demand for cement alternatives rising, an MIT team uses machine learning to hunt for new ingredients across the scientific literature.
SketchAgent, a drawing system developed by MIT CSAIL researchers, sketches up concepts stroke-by-stroke, teaching language models to visually express concepts on their own and collaborate with humans.
Courses on developing AI models for health care need to focus more on identifying and addressing bias, says Leo Anthony Celi.
Researchers redesign a compact RNA-guided enzyme from bacteria, making it an efficient editor of human DNA.
Researchers also found these effects can be reversed by treatment with an antioxidant.
Gift from the Leinweber Foundation, in addition to a $5 million commitment from the School of Science, will drive discovery, collaboration, and the next generation of physics leaders.