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CSAIL's GenSim uses the code within LLMs to automatically generate new robotic behaviors and outline each step within long-horizon goals (Credit: The researchers).

Using LLMs to code new tasks for robots

Convex

A new optimization framework for robot motion planning

An MIT team studies the potential of learning visual representations using synthetic images generated by text-to-image models. They are the first to show that models trained solely with synthetic images outperform the counterparts trained with real images, in large-scale settings (Credits: Alex Shipps/MIT CSAIL via the Midjourney AI image generator).

Synthetic imagery sets new bar in AI training efficiency

Spotlighted News

Using LLMs to code new tasks for robots

A new optimization framework for robot motion planning

Synthetic imagery sets new bar in AI training efficiency