3 Questions: How AI image generators could help robots
MIT PhD student Yilun Du describes methods to make generative art systems like DALL-E 2 more creative, while also exploring using stable diffusion models for robots.
Source: mit.edu
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Reprogrammable materials selectively self-assemble
Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) created a new method for magnetically programming materials to make cubes that are very picky about who they connect with, enabling more scalable self-assembly.
Source: mit.edu
MIT system "sees" the inner structure of the body during physical rehab | MIT News | Massachusetts Institute of Technology
Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) created a system called MuscleRehab for visualizing muscle engagement and motion data during unsupervised physical rehabilitation.
Source: mit.edu
Soft robots that grip with the right amount of force
SEED is a new soft-robotics system that can grasp tools and apply the appropriate amount of force for a given task, like squeegeeing up liquid or writing out a word with a pen. The work is a collaboration between MIT CSAIL and the Toyota Research Institute.
Source: mit.edu
Taking a magnifying glass to data center operations
The MIT Lincoln Laboratory Supercomputing Center has released a dataset containing more than a million jobs run on its TX-GAIA supercomputer, with the goal of using this data to feed AI research into optimizing data center resources. The team has kicked off the MIT Datacenter Challenge to mobilize this research.
Source: mit.edu