Fostering community amid Kendall Square’s innovation
The 18th annual Kendall Square Association Annual Meeting explored how new technologies could be a force for shared prosperity in society.
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Special events and guest speakers
MIT Schwarzman College of Computing launches pilot to help educators teach AI across disciplines
A weeklong summer workshop brought higher education faculty to campus to explore how AI and machine learning materials can be adapted for their classrooms.
Read MoreConnecting research to policy on Capitol Hill
MIT students and postdocs discussed science funding and research with policymakers in Washington during the MIT Science Policy Initiative’s annual Congressional Visit Days.
Read MoreExploring the societal impacts of AI
During the AI and Society Forum, leading MIT researchers examined critical questions about AI’s influence on employment and democracy.
Read MoreOn algorithms, life, and learning
Operations research expert Dimitris Bertsimas delivered the annual Killian Lecture, providing a look at the past and future of his work.
Read MoreWhat’s the right path for AI?
Conference speakers discussed the unfolding trajectory of AI and the benefits of shaping technology to meets people’s needs.
Read MoreAt MIT, former U.S. ambassador to China Nicholas Burns highlights climate change as an area for diplomatic engagement, while exploring areas including China’s emphasis on STEM education.
Read MoreStone Center on Inequality and Shaping the Future of Work Launches at MIT
Recent launch event for the center featured discussions on pro-worker AI, wealth inequality, and the future of liberal democracy.
Read MoreDriving American battery innovation forward
At MITEI’s Fall Colloquium, General Motors’ battery development expert emphasized how affordability, accessibility, and commercialization can position the US as a leader in battery tech.
Read MoreMIT scientists debut a generative AI model that could create molecules addressing hard-to-treat diseases
BoltzGen generates protein binders for any biological target from scratch, expanding AI’s reach from understanding biology toward engineering it.
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