MIT CSAIL & Technical University of Munich researchers have proposed a new approach to self-supervised learning that addresses the limitations of relying on pre-defined data augmentations, & instead learning a general representation that can adapt to different transformations by paying attention to context: https://lnkd.in/et7A4jKf
MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
Higher Education
Cambridge, MA 157,898 followers
MIT CSAIL pioneers approaches to computing that improve how people work, play and learn.
About us
The MIT Computer Science and Artificial Intelligence Laboratory – known as CSAIL – is the largest research laboratory at MIT and one of the world’s most important centers of information technology research. CSAIL has played a key role in the computer revolution and developments such as time-sharing, massive parallel computers, public key encryption, mass commercialization of robots, and much of the technology underlying the ARPANet, Internet and the World Wide Web. CSAIL’s focus is developing the architecture and innovative applications for tomorrow’s information technology. Our research yields long-term improvements in how people live and work. CSAIL members (former and current) have launched more than 100 companies, including 3Com, Lotus Development Corporation, RSA Data Security, Akamai, iRobot, Meraki, ITA Software, and Vertica. The Lab is home to the World Wide Web Consortium (W3C), Wireless@MIT, BigData@CSAIL, Cybersecurity@CSAIL and the MIT Information Policy Project (IPP). Connecting to CSAIL CSAIL Alliances is your organization's pathway to CSAIL connections and serves as a gateway into the lab for industry and governmental institutions seeking closer engagement to the work, researchers and students of CSAIL. The program provides organizations with a proactive and comprehensive approach to developing strong connections with all CSAIL has to offer. Leading organizations come to CSAIL to learn about our research, to recruit talented graduate students, and to explore collaborations with our researchers. Through this program, we are able to better provide our members with access to our latest thinking and our deep pool of exceptional human and informational resources. For more information, please visit: http://cap.csail.mit.edu/
- Website
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http://www.csail.mit.edu/
External link for MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
- Industry
- Higher Education
- Company size
- 1,001-5,000 employees
- Headquarters
- Cambridge, MA
- Type
- Nonprofit
- Founded
- 2003
- Specialties
- Artificial Intelligence, Systems, and Theory
Locations
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Primary
Get directions
32 Vassar Street
Cambridge, MA 02139, US
Employees at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
Updates
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ICYMI: MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) Professor Manolis Kellis leads the lab's Computational Biology Group, which use computational and experimental methods to understand the mechanistic basis of human disease. Join Prof. Kellis for an overview of the lab and hear about current research from his students: https://bit.ly/3WARmvR
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Generative AI offers exciting new ways to approach the creative process, and these tools might have implications on the future of art. Understand the potential impact of this technology and be a part of the ongoing conversation with the upcoming Driving Innovation with Generative AI course, featuring 12 Massachusetts Institute of Technology faculty. Use code LASTCHANCECSAIL to receive 15% off course registration. The course begins February 10. Register today: https://ow.ly/I5bY50TwhHi
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MIT CSAIL researchers recently helped design a performance test to find out how well vision language models could retrieve images for nature scientists’ research-specific queries. They found that more advanced VLMs performed reasonably well on straightforward queries about visual content but struggled with searches that required expert knowledge: https://bit.ly/4iy8kU6 Full X thread: https://bit.ly/4gzu7c8
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MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) Startup Connect member Nectry (Co-founded by Professor Adam Chlipala) is revolutionizing enterprise application development by combining functional programming with formal methods to enable the rapid creation of secure, scalable, and compliant custom applications. Nectry’s platform allows users to assemble applications from pre-built components, significantly accelerating development while ensuring robust security and privacy controls. Through its collaboration with CSAIL Alliances, Nectry is gaining critical insights from industry leaders and investors, further refining its product and accelerating digital transformation across industries. Read more about how Nectry collaborates with CSAIL Alliances: https://bit.ly/4iB12iu
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Study from MIT, NYU, & UCLA: AI chatbots can detect race, but racial bias reduces response empathy. The researchers developed an approach that helps evaluate whether LLMs like GPT-4 are equitable enough to be clinically viable for mental health support: https://lnkd.in/d_XmZkUA
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MIT researchers developed an AI debiasing technique that improves the fairness of a machine-learning model by boosting its performance for subgroups that are underrepresented in its training data. The method can maintain or improve the overall accuracy of the model: https://lnkd.in/guaNXeZT
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AI in health should be regulated, but don’t forget about the algorithms, according to researchers from MIT CSAIL & elsewhere. In a recent commentary, the team highlights the gaps in regulation for AI models and non-AI algorithms in health care: https://lnkd.in/eGCYs9i9
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Can we teach a robot its limits to do chores safely & correctly? To help robots execute open-ended, multi-step tasks, MIT CSAIL researchers used vision models to see what’s near the machine & model its constraints. An LLM sketches up a plan that’s checked in a simulator to ensure it’s safe & realistic, potentially aiding household robots: https://bit.ly/3ZNJWXj Full video: https://bit.ly/41vmteQ