Daily AI News

A quarter century after its founding, the McGovern Institute reflects on its discoveries in the areas of neuroscience, neurotechnology, artificial intelligence, brain-body connections, and therapeutics.

A new technique automatically guides an LLM toward outputs that adhere to the rules of whatever programming language or other format is being used.

By eliminating redundant computations, a new data-driven method can streamline processes like scheduling trains, routing delivery drivers, or assigning airline crews.

A new method from the MIT-IBM Watson AI Lab helps large language models to steer their own responses toward safer, more ethical, value-aligned outputs.

The approach maintains an AI model’s accuracy while ensuring attackers can’t extract secret information.

A team has developed an explainable AI model for automatic collision avoidance between ships.

A groundbreaking open-source computer program uses artificial intelligence to analyze videos of patients with Parkinson’s disease and other movement disorders. The tool, called VisionMD, helps doctors more accurately monitor subtle motor changes, improving patient care and advancing clinical research.

It’s a game a lot of us played as children — and maybe even later in life: unspooling measuring tape to see how far it would extend before bending. But to engineer, this game was an inspiration, suggesting that measuring tape could become a great material for a robotic gripper. The grippers would be a particularly good fit for agriculture applications, as their extremities are soft enough to grab fragile fruits and vegetables, researchers wrote. The devices are also low-cost and safe around humans.

A hopping, insect-sized robot can jump over gaps or obstacles, traverse rough, slippery, or slanted surfaces, and perform aerial acrobatic maneuvers, while using a fraction of the energy required for flying microbots.