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.
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.
A quantum effect in topological semimetals demonstrated by MIT researchers could allow for the utilization of an untapped energy source.
Curiosity-driven basic science in the 1970s laid the groundwork for today’s leading vaccines against the novel coronavirus.
The discovery can help to cure bacterial infections without inducing resistance or causing harm to good bacteria.
Opioid receptor MOR1 changes discovered in neurodegenerative disease model.
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.
New model shows why countries that retaliate too much against online attacks make things worse for themselves.
Identifying primordial ripples would be key to understanding the conditions of the early universe.
The MISTI Career Conversations: Energy program serves as an innovative pivot from international internships to a virtual seminar series.
Study finds China’s industrial-park policy is better for productivity when political connections are not a factor.