Randall DavisCSAIL Cabinet member
Academic center · Science policy · Cambridge, Massachusetts (MIT) · Est. 1963
MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) is MIT’s interdepartmental research laboratory focused on advancing computing and AI in ways that improve how people work, play, and learn. CSAIL frames its mission around pioneering fundamental new technologies, conducting basic research that furthers the field of computing, and educating future generations of scientists and technologists, with dozens of research groups organized into “Communities of Research” (CoRs).
MIT researchers and Motional developed a method that provides explanations for a self-driving model’s decisions to help people anticipate when the system may fail in unexpected situations.
How an MIT research project became a global programming languageCSAIL highlights how a MIT research project evolved into Julia, positioning it as a high-performance programming language intended to support scientific research, data analysis, and modeling of complex systems.
MIT engineers create a system for building shape-changing smart devicesMIT CSAIL describes modular “bifur-circuits” enabling reconfigurable smart devices whose electrical connections continue working across different device shapes.
When AI art has no author: MIT study finds generated images often can't be traced to any training dataCSAIL reports on research describing an “attribution decay” phenomenon for generative diffusion models, with implications for attribution, rights, and how influence from training examples may vanish at large scale.
With a feel for physics, AI models simulate a wider range of real-world scenariosCSAIL describes a physics-informed approach intended to help AI models simulate a broader range of real-world scenarios for tasks such as testing designs in diverse environments.
CSAIL reports on a security study detailing a class of attacks targeting the window between neutralizing speculative execution and when it is reused, and notes that the work involved coordination around disclosure and mitigations.