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Tracking AI breakthroughs and innovators
We’re breaking new ground in addressing critical world issues through AI-infused learning and discovery. See how we’re supercharging our impact through AI.
Latest ways we are shaping an enhanced future.
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91Ӱ researchers develop AI app to help speech-impaired users communicate more naturally
91Ӱ researchers develop AI app to help speech-impaired users communicate more naturally
Mar. 21, 2025
Researcher’s sustainable fertilizer breakthrough fueled by machine learning and quantum mechanics
Researcher’s sustainable fertilizer breakthrough fueled by machine learning and quantum mechanics
Feb. 12, 2025
What is Jevons Paradox? And why it may—or may not—predict AI’s futureWhat is Jevons Paradox? And why it may—or may not—predict AI’s future
Feb. 07, 2025
Grant will allow 91Ӱ center to expand AI educationGrant will allow 91Ӱ center to expand AI education
Dec. 11, 2024
Events and programs
Participate in our AI research community’s events
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AI in Teaching and Learning Scholars Information SessionAI in Teaching and Learning Scholars Information Session
Sep. 04, 2025
AI in Teaching and Learning Scholars Information SessionAI in Teaching and Learning Scholars Information Session
Sep. 08, 2025
AI in Teaching and Learning Scholars Information SessionAI in Teaching and Learning Scholars Information Session
Sep. 16, 2025
Having the (AI) TalkHaving the (AI) Talk
Sep. 08, 2025
Getting Started with AI in TeachingGetting Started with AI in Teaching
Sep. 15, 2025
Strategies to Help All Students Thrive in the Age of AIStrategies to Help All Students Thrive in the Age of AI
Oct. 01, 2025
Assessment Strategies for Student Usage of AIAssessment Strategies for Student Usage of AI
Oct. 08, 2025
Teaching with Writing in an AI-Infused WorldTeaching with Writing in an AI-Infused World
Oct. 14, 2025
Strategies for AI Use in Large Format CoursesOct. 20, 2025
Fostering Connection in Asynchronous Online Learning (in Age of AI)Fostering Connection in Asynchronous Online Learning (in Age of AI)
Nov. 04, 2025
Teaching Students to use Claude as a Study AssistantTeaching Students to use Claude as a Study Assistant
Nov. 19, 2025AI co-op case studies
How our students are
leveraging AI to effect changeOur talented co-op students are using AI to solve real-world challenges while forging paths toward meaningful careers.
Developing brain-inspired computing hardware
Mauricio Tedeschi worked as a co-op at the Peter Grünberg Institute, where he helped the research center develop and test algorithms for “brain-inspired hardware” for high-performance computing. By mimicking neurons in the human brain, researchers hope to make computer chips more efficient and cost effective. Tedeschi, a computer science and physics major, assisted in the development of code to make these chips handle complicated tasks more efficiently. The research was published in the 2024 IEEE International Conference on Rebooting Computing proceeding.
Co-op students develop AI chatbot for state transit system
Ria Singh and Rudra Sett, students in 91Ӱ’s , built a generative artificial intelligence chatbot to share information about the MBTA’s paratransit service. The students developed a system that allows call takers to quickly search policies and other MBTA documents. The chatbot also finds answers to queries that the customer service representatives can relay back to the customer. The tool will allow CSRs to more quickly share key transit information with the public.
AI tool connects farmers with environmental grants
Diane Grant and Rachel Kahn—who are both majoring in computer science and political science—created a navigation tool that consolidates information on grants offered by the Massachusetts’ Office of Energy and Environmental Affairs. Their AI-powered tool allows businesses, municipalities, nonprofits, and farmers to search a database of grant information to find appropriate opportunities more easily. Grant and Kahn hope that their tool will also help constituents determine their eligibility, understand grant requirements, and more. Both students are part of the .
Gaining experience in machine learning
Ava Knight completed a co-op with Werusys Industrie Informatik, a German data analytics and machine-learning artificial intelligence company. While working for the company, she developed an application within a data analytics software that used machine learning to analyze time-series energy usage data from a manufacturing plant in order to identify optimal production conditions. Knight appreciated this co-op for granting her extensive app development and problem-solving experience.

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