Giving students the computational chops to tackle 21st-century challenges
With the growing use of AI in many disciplines, the popularity of MIT’s four “blended” majors has intensified.
With the growing use of AI in many disciplines, the popularity of MIT’s four “blended” majors has intensified.
By analyzing epigenomic and gene expression changes that occur in Alzheimer’s disease, researchers identify cellular pathways that could become new drug targets.
This technology for storing and transmitting quantum information over lossy links could provide the foundation for scalable quantum networking.
Inspired by physics, a new generative model PFGM++ outperforms diffusion models in image generation.
Co-directors Youssef Marzouk and Nicolas Hadjiconstantinou describe how the standalone degree aims to train students in cross-cutting aspects of computational science and engineering.
The advance brings quantum error correction a step closer to reality.
Department of Brain and Cognitive Sciences faculty members Ev Fedorenko, Ted Gibson, and Roger Levy believe they can answer a fundamental question: What is the purpose of language?
PhD student Avni Singhal uses computational tools to help design new materials that address environmental challenges.
The 27 finalists — representing every school at MIT — will explore the technology’s impact on democracy, education, sustainability, communications, and much more.
Researchers use multiple AI models to collaborate, debate, and improve their reasoning abilities to advance the performance of LLMs while increasing accountability and factual accuracy.
Undergraduate engineering and computer science programs are No. 1; undergraduate business program is No. 2.
With Style2Fab, makers can rapidly customize models of 3D-printable objects, such as assistive devices, without hampering their functionality.
The machine-learning method works on most mobile devices and could be expanded to assess other motor disorders outside of the doctor’s office.
Although computer scientists may initially treat data bias and error as a nuisance, researchers argue it’s a hidden treasure trove for reflecting societal values.
The system could improve image quality in video streaming or help autonomous vehicles identify road hazards in real-time.