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.
Researchers developed a simple yet effective solution for a puzzling problem that can worsen the performance of large language models such as ChatGPT.
Scientists quantify a previously overlooked driver of human-related mercury emissions.
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.
MIT delegates share observations and insights from the largest-ever UN climate conference.
A county-by-county study shows where the U.S. job market will evolve most during the move to clean energy.
Exploiting the symmetry within datasets, MIT researchers show, can decrease the amount of data needed for training neural networks.
For 14 years, Crayton has strengthened programs and created new ones that foster academic success, provide mentoring, prepare students for careers or graduate school, and build community.
The ambient light sensors responsible for smart devices’ brightness adjustments can capture images of touch interactions like swiping and tapping for hackers.
Hundreds of participants from around the world joined the sixth annual MIT Policy Hackathon to develop data-informed policy solutions to challenges in health, housing, and more.
Developed by MIT engineers, the model could be a tool for designers looking to innovate in sneaker design.
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.
MIT CSAIL researchers develop advanced machine-learning models that outperform current methods in detecting pancreatic ductal adenocarcinoma.