Injectable “satellite livers” could offer an alternative to liver transplantation
The engineered tissue grafts could take on the liver’s function and help thousands of people with liver failure.
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The engineered tissue grafts could take on the liver’s function and help thousands of people with liver failure.
Offering substantial prize funding alongside workshops, classes, and mentorship, the initiative helps translate early-stage biotech research into venture-ready innovation.
Foray Bioscience, founded by Ashley Beckwith SM ’18, PhD ’22, is engineering single plant cells to create new materials and meet growing demand.
By leveraging idle computing time, researchers can double the speed of model training while preserving accuracy.
To help generative AI models create durable, real-world accessories and decor, the PhysiOpt system runs physics simulations and makes subtle tweaks to its 3D blueprints.
By providing holistic information on a cell, an AI-driven method could help scientists better understand disease mechanisms and plan experiments.
By enabling two chips to authenticate each other using a shared fingerprint, this technique can improve privacy and energy efficiency.
Annual award honors early-career researchers for creativity, innovation, and research accomplishments.
An AI control system co-developed by SMART researchers enables soft robotic arms to learn a broad set of motions once and adapt instantly to changing conditions without retraining.
By minimizing the need to drive around looking for a parking spot, this technique can save drivers up to 35 minutes — and give them a realistic estimate of total travel time.
The context of long-term conversations can cause an LLM to begin mirroring the user’s viewpoints, possibly reducing accuracy or creating a virtual echo-chamber.
Overcoming challenges of 3D printing with multiple functional materials, MIT researchers fabricated an electric linear motor in hours.
Seven faculty members, along with 12 additional alumni, are honored for significant contributions to engineering research, practice, and education.
Removing just a tiny fraction of the crowdsourced data that informs online ranking platforms can significantly change the results.
EnCompass executes AI agent programs by backtracking and making multiple attempts, finding the best set of outputs generated by an LLM. It could help coders work with AI agents more efficiently.