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.
Smart glove teaches new physical skills
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.
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.
MIT researchers remotely map crops, field by field
The team used machine learning to analyze satellite and roadside images of areas where small farms predominate and agricultural data are sparse.
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.
Six MIT students selected as spring 2024 MIT-Pillar AI Collective Fellows
The graduate students will aim to commercialize innovations in AI, machine learning, and data science.
How symmetry can come to the aid of machine learning
Exploiting the symmetry within datasets, MIT researchers show, can decrease the amount of data needed for training neural networks.
Creating new skills and new connections with MIT’s Quantitative Methods Workshop
More than 80 students and faculty from a dozen collaborating institutions became immersed at the intersection of computation and life sciences and forged new ties to MIT and each other.
Entrepreneur creates career pathways with MIT OpenCourseWare
June Odongo uses free, online MIT courses to train high-quality candidates, making them job-ready.
Q&A: A blueprint for sustainable innovation
Atacama Biomaterials, co-founded by Paloma Gonzalez-Rojas SM ’15, PhD ’21, combines architecture, machine learning, and chemical engineering to create eco-friendly materials.
What to do about AI in health?
Although artificial intelligence in health has shown great promise, pressure is mounting for regulators around the world to act, as AI tools demonstrate potentially harmful outcomes.