By breaking an intractable problem into smaller chunks, a deep-learning technique identifies the optimal areas for thinning out traffic in a warehouse.

The printed solenoids could enable electronics that cost less and are easier to manufacture — on Earth or in space.

An MIT team precisely controlled an ultrathin magnet at room temperature, which could enable faster, more efficient processors and computer memories.

An easy-to-use technique could assist everyone from economists to sports analysts.

Adaptive smart glove from MIT CSAIL researchers can send tactile feedback to teach users new skills, guide robots with more precise manipulation, and help train surgeons and pilots.

Using a machine-learning algorithm, researchers can predict interactions that could interfere with a drug’s effectiveness.

MIT engineers developed a tag that can reveal with near-perfect accuracy whether an item is real or fake. The key is in the glue on the back of the tag.

MIT spinout Elicio developed a vaccine based on a lymph node-targeting approach first developed at the Koch Institute. Phase 1 solid tumor clinical trial results are promising so far.

Applying a small voltage to a catalyst can increase the rates of reactions used in petrochemical processing, pharmaceutical manufacture, and many other processes.

The team used machine learning to analyze satellite and roadside images of areas where small farms predominate and agricultural data are sparse.