MIT Task Force on the Work of the Future examines job changes in the AV transition and how training can help workers move into careers that support mobility systems.
Book co-authored by Associate Professor Julie Shah and Laura Major SM ’05 explores a future populated with robot helpers.
Presentations targeted high-impact intersections of AI and other areas, such as health care, business, and education.
Last week CSAIL hosted the first “Hot Topics in Computing” speaker series, a new monthly forum where computing experts hold discussions with community members on various topics in the computer science field.
How does the brain process an image? Research by CSAIL Principal Investigator Ruth Rosenholtz offers a new mathematical model for how the brain summarizes information received from the retina. According to Rosenholtz's model, the brain creates a statistical summary of each different aspect of the image at hand, while most models show the brain identifying boundaries, alignment and placing shapes until the brain can recognize an object.
Read more on Rosenholtz's work here.
Researchers develop an algorithm that decides when a “student” machine should follow its teacher, and when it should learn on its own.
MIT researchers design a robot that has a trick or two up its sleeve.
CSAIL Associate Professor Scott Aaronson is delving into the next frontier of computing: quantum computing. The wild west of the computer world, quantum computing is a new means of expanding the boundaries of information processing.
Human Guided Exploration (HuGE) enables AI agents to learn quickly with some help from humans, even if the humans make mistakes.
A new technique can be used to predict the actions of human or AI agents who behave suboptimally while working toward unknown goals.