Generative AI for smart grid modeling
MIT LIDS awarded funding from the Appalachian Regional Commission as part of a multi-state collaborative project to model and test new smart grid technologies for use in rural areas.
MIT LIDS awarded funding from the Appalachian Regional Commission as part of a multi-state collaborative project to model and test new smart grid technologies for use in rural areas.
The printed solenoids could enable electronics that cost less and are easier to manufacture — on Earth or in space.
An easy-to-use technique could assist everyone from economists to sports analysts.
A piano that captures the data of live performance offers the MIT community new possibilities for studying and experimenting with music.
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.
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.
Innovative AI system from MIT CSAIL melds simulations and physical testing to forge materials with newfound durability and flexibility for diverse engineering uses.
Researchers developed a simple yet effective solution for a puzzling problem that can worsen the performance of large language models such as ChatGPT.
Marc Baldo, Jacopo Buongiorno, and Hsiao-hua Burke, along with 13 additional MIT alumni, are honored for significant contributions to engineering research, practice, and education.
Two professors and three additional alumni recognized for “dreaming up solutions to global challenges — advancing health, sustainability, and human connection.”
In a Q&A, the reigning Classic Tetris World Champion describes his recent game crash — and the behind-the-scenes race that led him and fellow player Willis “BlueScuti” Gibson to record achievements.
The method lets researchers identify and control larger numbers of atomic-scale defects, to build a bigger system of qubits.
A plastic microfluidic chip can remove some risky cells that could potentially become tumors before they are implanted in a patient.
The graduate students will aim to commercialize innovations in AI, machine learning, and data science.
Awarded $65.67 million from ARPA-H, the researchers will work to develop ingestible capsules that deliver mRNA and electric stimuli to treat metabolic disorders such as diabetes.