Robot 101: Learning to work with humans
Julie Shah teaches a new generation of robots to collaborate safely and efficiently with workers across industries.
Computer Science and Artificial Intelligence Laboratory (CSAIL)
Democratizing data visualization
Study examines use of ‘Exhibit’ tools in creating interactive data visualizations.
Parallel programming may not be so daunting
“Lock-free” parallel algorithms may match performance of more complex “wait-free” algorithms.
Soft robotic fish moves like the real thing
A new robotic fish can change direction almost as rapidly as a real fish.
Marvin Minsky honored for lifetime achievements in artificial intelligence
The MIT professor emeritus earns the BBVA Foundation Frontiers of Knowledge Award for his pioneering work and mentoring role in the field of artificial intelligence.
New approach to vertex connectivity could maximize networks’ bandwidth
Technique advances understanding of a basic concept in graph theory, paralleling advances in edge connectivity.
Never forget a face
New algorithm uses subtle changes to make a face more memorable without changing a person’s overall appearance.
Leaner Fourier transforms
New algorithm can separate signals into their individual frequencies using a minimal number of samples.
Italian tenor Andrea Bocelli visits MIT in support of assistive technology and global poverty reduction
Daylong visit highlights work by MIT researchers and others at CSAIL and J-PAL.
Andrea Bocelli and MIT showcase research advancements this Friday
Andrea Bocelli will attend workshops at MIT featuring research on vision impairment and social impact programs funded by the Andrea Bocelli Foundation and conducted at MIT.
How to program unreliable chips
A new language lets coders reason about the trade-off between fidelity of execution and power or time savings in the computers of the future.
Eliminating unexplained traffic jams
If integrated into adaptive cruise-control systems, a new algorithm could mitigate the type of freeway backup that seems to occur for no reason.
Taking a new look at subway map design
CSAIL researchers are using a computational model that better understands peripheral vision to test the usability of MBTA subway maps.