Using generative AI to improve software testing
MIT spinout DataCebo helps companies bolster their datasets by creating synthetic data that mimic the real thing.
Machine learning
Dealing with the limitations of our noisy world
Tamara Broderick uses statistical approaches to understand and quantify the uncertainty that can affect study results.
Startup accelerates progress toward light-speed computing
Lightmatter, founded by three MIT alumni, is using photonic technologies to reinvent how chips communicate and calculate.
New AI model could streamline operations in a robotic warehouse
By breaking an intractable problem into smaller chunks, a deep-learning technique identifies the optimal areas for thinning out traffic in a warehouse.
“We offer another place for knowledge”
After acquiring data science and AI skills from MIT, Jospin Hassan shared them with his community in the Dzaleka Refugee Camp in Malawi and built pathways for talented learners.
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.
Putting AI into the hands of people with problems to solve
Alumni-founded Pienso has developed a user-friendly AI builder so domain experts can build solutions without writing any code.
New model identifies drugs that shouldn’t be taken together
Using a machine-learning algorithm, researchers can predict interactions that could interfere with a drug’s effectiveness.
This tiny, tamper-proof ID tag can authenticate almost anything
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.
A new way to let AI chatbots converse all day without crashing
Researchers developed a simple yet effective solution for a puzzling problem that can worsen the performance of large language models such as ChatGPT.