A method to interpret AI might not be so interpretable after all
Some researchers see formal specifications as a way for autonomous systems to "explain themselves" to humans. But a new study finds that we aren't understanding.
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Some researchers see formal specifications as a way for autonomous systems to "explain themselves" to humans. But a new study finds that we aren't understanding.
Five MIT faculty, along with seven additional affiliates, are honored for outstanding contributions to medical research.
MIT engineers develop a long, curved touch sensor that could enable a robot to grasp and manipulate objects in multiple ways.
MIT Digital Learning Lab advances quality digital learning on campus and globally.
Open-source software by MIT MAD Fellow Jonathan Zong and others in the MIT Visualization Group reveals online graphics’ embedded data in the user’s preferred degree of granularity.
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.
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.
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.