Making AI models more trustworthy for high-stakes settings
A new method helps convey uncertainty more precisely, which could give researchers and medical clinicians better information to make decisions.
Department
Electrical Engineering and Computer Science
The MIT-Portugal Program enters Phase 4
New phase will support continued exploration of ideas and solutions in fields ranging from AI to nanotech to climate — with emphasis on educational exchanges and entrepreneurship.
MIT engineers advance toward a fault-tolerant quantum computer
Researchers achieved a type of coupling between artificial atoms and photons that could enable readout and processing of quantum information in a few nanoseconds.
Merging design and computer science in creative ways
MAD Fellow Alexander Htet Kyaw connects humans, machines, and the physical world using AI and augmented reality.
Novel method detects microbial contamination in cell cultures
Ultraviolet light “fingerprints” on cell cultures and machine learning can provide a definitive yes/no contamination assessment within 30 minutes.
“Periodic table of machine learning” could fuel AI discovery
Researchers have created a unifying framework that can help scientists combine existing ideas to improve AI models or create new ones.
3D modeling you can feel
TactStyle, a system developed by CSAIL researchers, uses image prompts to replicate both the visual appearance and tactile properties of 3D models.
“Biomedical Lab in a Box” empowers engineers in low- and middle-income countries
Through workshops based on an MIT class, students in Kenya and Uganda gained hands-on experience engineering medical hardware.
MIT’s McGovern Institute is shaping brain science and improving human lives on a global scale
A quarter century after its founding, the McGovern Institute reflects on its discoveries in the areas of neuroscience, neurotechnology, artificial intelligence, brain-body connections, and therapeutics.
Making AI-generated code more accurate in any language
A new technique automatically guides an LLM toward outputs that adhere to the rules of whatever programming language or other format is being used.
Student spotlight: YongYan (Crystal) Liang
The senior, majoring in electrical engineering and computer science, has participated in SuperUROP, NEET, MISTI GTL, and multiple labs focusing on biological EECS.
Enhancing the future of teaching and learning at MIT
The MIT Festival of Learning sparked discussions on better integrating a sense of purpose and social responsibility into hands-on education.
Bridging Earth and space, and art and science, with global voices
Professor Craig Carter’s precision design for a student-led project now on the moon encodes messages from around the world on a silicon wafer.
Training LLMs to self-detoxify their language
A new method from the MIT-IBM Watson AI Lab helps large language models to steer their own responses toward safer, more ethical, value-aligned outputs.
New method efficiently safeguards sensitive AI training data
The approach maintains an AI model’s accuracy while ensuring attackers can’t extract secret information.