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MIT analysis finds current EVs could replace ~90% of personal vehicles now on the road based on driver’s energy consumption

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A study by a team at MIT has concluded that roughly 90% of the personal vehicles on the road in the US could be replaced by an electric vehicle available on the market today, even if the cars can only charge overnight. Together, the two datasets encompass millions of trips made by drivers all around the country. —Jessika Trancik.

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Daimler joining MIT CSAIL Alliance Program for AI work; cognitive vehicles

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Daimler is becoming a new member of the MIT CSAIL Alliance Program. MIT’s Computer Science and Artificial Intelligence Laboratory ( CSAIL ) is the largest research laboratory at MIT and one of the world’s most important centers of information technology research. The new cooperation with the MIT ideally complements this.

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GM Webchat with Chris Borroni-Bird on Reinventing the Automobile, Friday 2pm EDT

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EDT, with Christopher Borroni-Bird, GM’s Director of Advanced Technology Vehicle Concepts and co-author of the book Reinventing the Automobile: Personal Urban Mobility for the 21 st Century.

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MIT CSAIL, Cornell study finds rides-sharing theoretically could cut taxi traffic in NYC by 75%

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A new modeling study by a team from MIT CSAIL (Computer Science and Artificial Intelligence Laboratory) and Cornell suggests that using ride-sharing from companies like Uber and Lyft theoretically could reduce the number of taxis on the road in New York City by 75% without significantly impacting travel time. —Daniela Rus.

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Toyota unveils Driver Awareness Research Vehicle

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DAR-V’s personalized information display on the side window. Utilizing Microsoft technologies such as Kinect, the interactive systems integrated into the design of the vehicle display important, highly personalized information on the side window when the driver approaches the car. MIT AgeLab observes the human factors of voice command.

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Can Deepfake Tech Train Computer Vision AIs?

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In their paper presented at the 2022 International Conference on Learning Representations , the MIT researchers asked whether, “given access only to a trained generative model, and no access to the dataset that trained it, can we learn effective visual representations?” Synthetic data is useful to simulate conditions that may not (yet) exist.

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Harvard hybrid “bionic leaf” converts solar energy to liquid fuel isopropanol

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Based on discoveries made earlier by Anthony Sinskey, professor of microbiology and of health sciences and technology at MIT, new pathways in the bacterium are metabolically engineered to make isopropanol. This is a proof of concept that you can have a way of harvesting solar energy and storing it in the form of a liquid fuel.

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