Page 8 - Mit Csail News Today

Researchers at MIT CSAIL developed a new programming language specifically for high-performance computing. With the prototype, says PhD student Amanda Liu, “speed and correctness do not have to compete ... they can go together, hand-in-hand.”

MIT Associate Professor Marzyeh Ghassemi offers a cautionary note about the prospects for AI in medicine: “If used carefully, this technology could improve performance in health care and potentially reduce inequities. But if we’re not actually careful, technology could worsen care.”

InfraredTags are invisible tags that can be embedded within the interior of objects fabricated on standard 3D printers. These tags, developed by Mustafa Doga Dogan, Stefanie Mueller, and colleagues at MIT CSAIL, could provide metadata for physical objects the way it is now available for digital files.

Twist is an MIT-created programming language for quantum computing that can describe and verify which pieces of data are entangled in a quantum program, through a language a classical programmer can understand.

Scientists demonstrate that artificial intelligence risk models for breast cancer, paired with AI-designed screening policies, can offer significant and equitable improvements to cancer screening.

MIT computer scientists and mathematicians created Brave Behind Bars, an introductory computing and career-readiness program for incarcerated women.

Scientists, students, and community members came together to discuss the promise and pitfalls of artificial intelligence at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) for the fourth TEDxMIT event held at MIT.

MIT scientists discover that contemporary deep-learning methods confidently recognize images that are nonsense, which could be concerning for medical and autonomous driving decision-making.

In his new book, “The Essence of Software," MIT Professor and CSAIL Director Daniel Jackson examines the design and implementation of software through a concept-based approach.

Researchers in MIT’s Department of Mechanical Engineering are using cutting-edge computing and machine learning techniques to re-imagine how the products, systems, and infrastructures we use are designed.