Building machines that better understand human goals
A new algorithm capable of inferring goals and plans could help machines better adapt to the imperfect nature of human planning.
A new algorithm capable of inferring goals and plans could help machines better adapt to the imperfect nature of human planning.
Unbiased, high-throughput analysis pipeline improves utility of “minibrains” for understanding development and diseases such as Zika infection.
Undergraduate in electrical engineering and computer science contributes to startling new astronomy research.
The advance could cut production costs and reduce the size of microelectronics for sensing and communication.
A key finding: Early reopening last spring led to a dramatic drop in “quarantine strength” in southern and west-central U.S. states.
Nanoscale devices integrated into the leaves of living plants can detect the toxic heavy metal in real time.
Professor David Wallace and his team developed class 2.s009 (Explorations in Product Design) to give students the safest, best possible hands-on educational experience.
A quantum effect in topological semimetals demonstrated by MIT researchers could allow for the utilization of an untapped energy source.
Many years of research have enabled scientists to quickly synthesize RNA vaccines and deliver them inside cells.
For senior Danielle Grey-Stewart, a pivotal experience away from campus led to a new sense of purpose at MIT.
The discovery can help to cure bacterial infections without inducing resistance or causing harm to good bacteria.
Animators spend hours adding textures to objects. A new machine-learning system simplifies the process.
System uses machine learning to analyze boundaries between crystal grains, allowing for selection of desired properties in a new metal.
Quantum computers could usher in a golden age of computing power, solving problems intractable on today’s machines.
PSFC principal researcher is acknowledged for work with U.S. Burning Plasma Organization.