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The MIT-Takeda Program concluded with 16 research papers, a patent, and almost 24 projects successfully completed.

Artificial Intelligence, Awards, Classes and programs, Collaboration, Data, Drug development, Electrical Engineering & Computer Science (eecs), Faculty, Graduate, Health care, Health sciences and technology, honors and fellowships, Jameel Clinic, Machine learning, Medicine, MIT Schwarzman College of Computing, Pharmaceuticals, postdoctoral, School of Engineering, Special events and guest speakers, Students, SuperUROP, UncategorizedJune 19, 202443Views0Likes0Comments

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Using data to make improved decisions.

Abdul Latif Jameel Poverty Action Lab (J-PAL), Algorithms, Artificial Intelligence, Behavior, Behavioral economics, Business and management, Classes and programs, Data, Economics, Electrical Engineering & Computer Science (eecs), Health care, Health sciences and technology, Industry, Leadership, Machine learning, MIT Schwarzman College of Computing, School of Engineering, School of Humanities Arts and Social Sciences, Technology and policy, UncategorizedJune 7, 202437Views0Likes0Comments

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A cooperative effort within a community for advancement.

Algorithms, Artificial Intelligence, Boston and region, Cambridge, Classes and programs, Data, Graduate, Housing, IDSS, MIT Schwarzman College of Computing, Policy, postdoctoral, Profile, Racism, School of Architecture and Planning, Social justice, Students, Uncategorized, Undergraduate Research Opportunities Program (UROP), Urban studies and planningMay 23, 202437Views0Likes0Comments
The Massachusetts Institute of Technology (MIT) has been collaborating with Roxbury, Massachusetts' Camfield Estates housing development for over a decade, helping to combat systemic racial disparities in housing. Led by Associate Professor Catherine D'Ignazio, a team from the MIT Initiative for Combatting Systemic Racism (ICSR) primarily focus their research on the impact of data and…

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Faculty, instructors, and students at MIT engage in trials with generative AI in the field of education and learning.

academics, Artificial Intelligence, Classes and programs, Education, Electrical Engineering & Computer Science (eecs), Faculty, Human-computer interaction, Innovation and Entrepreneurship (I&E), Internet, K-12 education, Labor and jobs, Languages, Learning, Machine learning, MIT Schwarzman College of Computing, MIT Sloan School of Management, MITx, Office of Open Learning, Online learning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Special events and guest speakers, Staff, Students, teaching, Technology and society, Uncategorized, Vice ChancellorApril 30, 202446Views0Likes0Comments
During the Festival of Learning 2024 at MIT, discussions were held on leveraging generative AI to enhance learning experiences for students both on and off campus. The panelists, comprising MIT faculty, instructors, staff, and students, emphasized that generative AI should be used to enrich, not replace, the educational experience. They highlighted the ongoing experimentation with…

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Generative AI is being experimented with in teaching and learning by students, faculty, and instructors at MIT.

academics, Artificial Intelligence, Classes and programs, Education, Electrical Engineering & Computer Science (eecs), Faculty, Human-computer interaction, Innovation and Entrepreneurship (I&E), Internet, K-12 education, Labor and jobs, Languages, Learning, Machine learning, MIT Schwarzman College of Computing, MIT Sloan School of Management, MITx, Office of Open Learning, Online learning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Special events and guest speakers, Staff, Students, teaching, Technology and society, Uncategorized, Vice ChancellorApril 30, 202440Views0Likes0Comments
In the MIT Festival of Learning 2024, faculty, students, staff, and alumni explored the role of generative AI in learning and teaching. Some believe that this technology is an essential tool to prepare students for the future of work. Generative AI can be used to support learning experiences, where the student can take ownership. For…

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Utilizing language to comprehend machines.

Artificial Intelligence, Classes and programs, Collaboration, Data, Electrical Engineering & Computer Science (eecs), Graduate, Human-computer interaction, Industry, Linguistics, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Natural language processing, postdoctoral, Research, School of Engineering, School of Humanities Arts and Social Sciences, Students, UncategorizedMarch 7, 202441Views0Likes0Comments
MIT engineering students Irene Terpstra ’23 and Rujul Gandhi ’22 are collaborating with the MIT-IBM Watson AI Lab to advance Artificial Intelligence (AI) systems using Natural Language Processing (NLP), taking advantage of the vast amount of natural language data available. Terpstra is focusing on the application of AI algorithms for computer chip design, leveraging the…

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“We provide an alternative venue for learning.”

Abdul Latif Jameel World Education Lab (J-WEL), academics, Africa, Artificial Intelligence, Classes and programs, Collaboration, Computer science and technology, Data, Digital technology, Education, Global, Human-computer interaction, International development, International initiatives, Internet, K-12 education, Labor and jobs, Learning, Machine learning, Media Lab, MITx, Office of Open Learning, Online learning, Programming, Robotics, School of Architecture and Planning, Software, STEM education, teaching, Technology and society, UncategorizedMarch 7, 202437Views0Likes0Comments
Jospin Hassan, a resident of Dzaleka Refugee Camp in Malawi, realized the lack of educational opportunities in his environment, particularly in cutting-edge fields like data science and artificial intelligence that can offer employment opportunities and solutions to local challenges. This led him to establish his organization, ADAI Circle, after he earned a spot in the…

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