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3 Questions: What is the best path forward for AI in academia?
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
Supporting systems of success
In the MIT class 6.C31 (Hack Yourself) students apply computer science strategies to personal growth goals.
Q&A: The path to a PhD in computational science and engineering at MIT
MIT doctoral candidate Emily Williams reflects on her time at the Center for Computational Science and Engineering as she becomes the program’s first graduate.
MIT-IBM Watson AI Lab seed to signal: Amplifying early-career faculty impact
Academia-industry relationship is an early-stage accelerator, supporting professional progress and research.
Discovering the joy of future-forward electrical engineering
One year in, MIT’s hands-on 6-5 (Electrical Engineering With Computing) degree program is already one of the most popular majors among first-year students.
New MIT class uses anthropology to improve chatbots
MIT computer science students design AI chatbots to help young users become more social, and socially confident.
The philosophical puzzle of rational artificial intelligence
As AI technology advances, a new interdisciplinary course seeks to equip students with foundational critical thinking skills in computing.
At MIT, a continued commitment to understanding intelligence
With support from the Siegel Family Endowment, the newly renamed MIT Siegel Family Quest for Intelligence explores how brains produce intelligence and how it can be replicated to solve problems.
New MIT program to train military leaders for the AI age
The new certificate program will equip naval officers with skills needed to solve the military’s hardest problems.
Laurent Demanet appointed co-director of MIT Center for Computational Science and Engineering
Applied mathematics professor will join fellow co-director Nicolas Hadjiconstantinou in leading the cross-cutting center.
