The MIT-Google Program for Computing Innovation has awarded funding to 13 projects led by MIT researchers that target one of the following strategic areas of inquiry: computing for the health of the planet, responsible computing, efficient computing, and computer-aided creativity. A collaboration launched in 2023 between MIT and Google, hosted by the MIT Schwarzman College of Computing, the mission of the program is to help generate research that uses computing to positively impact society, increase research capacity, and create a more diverse future. https://bit.ly/MIT-Google
MIT Schwarzman College of Computing
Higher Education
Cambridge, MA 5,015 followers
Addressing the opportunities and challenges of the computing age — from hardware to software to algorithms to AI
About us
The mission of the MIT Stephen A. Schwarzman College of Computing is to address the opportunities and challenges of the computing age — from hardware, to software, to algorithms, to artificial intelligence (AI) — by transforming the capabilities of academia in three key areas: supporting the rapid evolution and growth of computer science and AI; facilitating collaborations between computing and other disciplines; and focusing on social and ethical responsibilities of computing through combining technological approaches and insights from social science and humanities, and through engagement beyond academia.
- Website
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http://computing.mit.edu/
External link for MIT Schwarzman College of Computing
- Industry
- Higher Education
- Company size
- 5,001-10,000 employees
- Headquarters
- Cambridge, MA
- Type
- Educational
- Founded
- 2019
Locations
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Primary
Cambridge, MA 02139, US
Employees at MIT Schwarzman College of Computing
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Ellen Rushman
Program Manager at MIT Schwarzman College of Computing
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Ezequiel Brodschi
Data Scientist | Machine Learning | Artificial Intelligence | Python | SQL | Azure | Databricks | Power BI | Statistics
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Richard W.
Founder in Education and Learning; Digital Transformation | AI | Tech entrepreneur; Advisor, MIT Schwarzman College of Computing; VFellow, MIT Sloan…
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Cory D. Harris, MA
Higher Education Professional
Updates
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AI agents could soon become indistinguishable from humans online. Could “personhood credentials” protect people against digital imposters? In a new white paper, researchers from MIT, OpenAI, Microsoft, and other tech companies and academic institutions propose the use of a verification technique that enables someone to prove they are a real human online, while preserving their privacy. https://lnkd.in/dna-gFDj
3 Questions: How to prove humanity online
news.mit.edu
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Sam Madden, the College of Computing Distinguished Professor of Computing, has been named the new faculty head of computer science in MIT EECS. A member of the MIT faculty since 2004, Madden’s research interest is in database systems, focusing on database analytics and query processing, ranging from clouds to sensors to modern high-performance server architectures. https://bit.ly/SamMadden
Sam Madden named faculty head of computer science in EECS
news.mit.edu
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In a recent study, researchers from MIT Institute for Data, Systems, and Society (IDSS), Laboratory for Information and Decision Systems (LIDS), and Northeastern's College of Social Sciences and Humanities, introduce how structured randomization into decisions based on machine-learning model predictions can address inherent uncertainties while maintaining efficiency. https://lnkd.in/evgQyMH8
Study: When allocating scarce resources with AI, randomization can improve fairness
news.mit.edu
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Building on a landmark algorithm, MIT researchers have proposed a way for a quantum computer to break certain cryptographic systems. Their quantum factoring circuit requires less memory and is more tolerant to noise than prior versions. “If large-scale quantum computers ever get built, then factoring is toast and we have to find something else to use for cryptography. But how real is this threat? Can we make quantum factoring practical? Our work could potentially bring us one step closer to a practical implementation,” says Vinod Vaikuntanathan, the Ford Foundation Professor of Engineering in the Department of Electrical Engineering and Computer Science (EECS), a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL), and senior author of a paper describing the algorithm. https://lnkd.in/eq38TYnS
Toward a code-breaking quantum computer
news.mit.edu
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Making its debut this fall, 6.C40/24.C40 (Ethics of Computing) is a new Common Ground for Computing Education class exploring ethical questions raised by the potentially transformative power of computing technologies. The class will be taught by professors Armando Solar Lezama of MIT EECS, and Brad Skow of MIT Philosophy. https://lnkd.in/etaEjWsB
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Join the 2024-2025 cohort of SERC Scholars. Work on 1 of 7 projects exploring social and ethical considerations of computing (deepfakes, gamification, generative AI & democracy, etc). SERC Scholars are hourly paid positions. Open to all MIT undergraduate and graduate students. Application deadline is September 15: https://lnkd.in/esQ5vzcs
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MIT Schwarzman College of Computing reposted this
We are excited to welcome Paul Liang to MIT, where he will lead pioneering research at the intersection of artificial intelligence (AI) and human experience. As Assistant Professor, Artificial Intelligence (AI) and Human Experience, Professor Liang will join the MIT Media Lab's Program in Media Arts and Sciences (MAS) and the MIT Schwarzman College of Computing, with a shared appointment in MIT EECS. “Most of today’s AI systems only perceive a narrow slice of the world," Professor Liang says. “Collaborating with the diverse communities of the MIT Media Lab and EECS will unlock numerous possibilities for integrating music, art, cultures, smell, taste, and real-world sensors into the AI toolkit, enhancing its ability to deeply understand and elevate the human experience.”
Paul Liang joins MIT Media Lab/MAS + EECS/Schwarzman College of Computing as Asst. Professor, AI + Human Experience
media.mit.edu
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MIT researchers from the Data to AI Group in the Laboratory for Information and Decision Systems have developed SigLLM, a new tool that uses large language models to flag problems in complex systems. The new method could someday help alert technicians to potential problems in equipment like wind turbines or satellites. bit.ly/SigLLM
MIT researchers use large language models to flag problems in complex systems
news.mit.edu
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MIT Professor Regina Barzilay joins other AI experts on the BBC's The Documentary Podcast to discuss her inspiration for applying AI technologies to help improve medicine and fight cancer. “I think that in cancer and in many other diseases, the big question is always, how do you deal with uncertainty? It's all the matter of predictions," says Barzilay. "Unfortunately, today, we rely on humans who don't have this capacity to make predictions. As a result, many times people get wrong treatments or they are diagnosed much later." Listen to the episode via the BBC: https://lnkd.in/gXqXDydx