The “PRoC3S” method helps an LLM create a viable action plan by testing each step in a simulation. This strategy could eventually aid in-home robots to complete more ambiguous chore requests.
MIT CSAIL director and EECS professor named a co-recipient of the honor for her robotics research, which has expanded our understanding of what a robot can be.
This new device uses light to perform the key operations of a deep neural network on a chip, opening the door to high-speed processors that can learn in real-time.
MIT spinout Electrified Thermal Solutions has developed an electrically conductive firebrick that stores heat at high enough temperatures to power industrial processes.
The MIT Advanced Vehicle Technology Consortium provides data-driven insights into driver behavior, along with trust in AI and advanced vehicle technology.
Study finds many climate-stabilization plans are based on questionable assumptions about the future cost and deployment of “direct air capture” and therefore may not bring about promised reductions.