A more effective experimental design for engineering a cell into a new state
By focusing on causal relationships in genome regulation, a new AI method could help scientists identify new immunotherapy techniques or regenerative therapies.
By focusing on causal relationships in genome regulation, a new AI method could help scientists identify new immunotherapy techniques or regenerative therapies.
Grants fund studies of honeybee tracking, glass building materials, and defining excellence in human movement.
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.
Inspired by physics, a new generative model PFGM++ outperforms diffusion models in image generation.
The program supports “outstanding theoretical scientists.”
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.
Professor and two additional MIT affiliates honored for influential work on optical coherence tomography, which allows rapid detection of retinal disease, among other applications.
The MIT and Accenture Convergence Initiative for Industry and Technology announces new graduate fellows.
The 27 finalists — representing every school at MIT — will explore the technology’s impact on democracy, education, sustainability, communications, and much more.
Sharmi Shah ’23 pursued Course 2-A/6, a customizable degree path that combines mechanical engineering with computer science and electrical engineering.
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.
With Style2Fab, makers can rapidly customize models of 3D-printable objects, such as assistive devices, without hampering their functionality.
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.