Integrating humans with AI in structural design
A process that seeks feedback from human specialists proves more effective at optimization than automated systems working alone.
A process that seeks feedback from human specialists proves more effective at optimization than automated systems working alone.
The Advanced Computing Users Survey, sampling sentiments from 120 top-tier universities, national labs, federal agencies, and private firms, finds the decline in America’s advanced computing lead spans many areas.
With supercomputers and machine learning, the physicist aims to illuminate the structure of everyday particles and uncover signs of dark matter.
The program leverages MIT’s research expertise and Takeda’s industrial know-how for research in artificial intelligence and medicine.
The chip, which can decipher any encoded signal, could enable lower-cost devices that perform better while requiring less hardware.
The method enables a model to determine its confidence in a prediction, while using no additional data and far fewer computing resources than other methods.
The chatbot’s success on the medical licensing exam shows that the test — and medical education — are flawed, Celi says.
A new study shows how large language models like GPT-3 can learn a new task from just a few examples, without the need for any new training data.
A new tool brings the benefits of AI programming to a much broader class of problems.
Passionate about creating educational opportunities in India, PhD student Siddhartha Jayanti recently explored multiprocessor speed limits, in a paper written in the Indian language Telugu.
A new measure can help scientists decide which estimation method to use when modeling a particular data problem.
Computer scientists want to know the exact limits in our ability to clean up, and reconstruct, partly blurred images.
“I wouldn’t let the aggressor in the war squash my dreams,” says Ukrainian mathematician and MITx MicroMasters learner Tetiana Herasymova.
Deep-learning model takes a personalized approach to assessing each patient’s risk of lung cancer based on CT scans.
Study shows that if autonomous vehicles are widely adopted, hardware efficiency will need to advance rapidly to keep computing-related emissions in check.