A real-to-sim-to-real approach for more precise home robots. Full video: bit.ly/3WtzL8L
MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
Higher Education
Cambridge, MA 151,665 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
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 Hal Abelson has a long history of looking at the importance of Computer Science education and helping shape its future. Listen as he joins Kara Miller in conversation to discuss how AI will shape education moving forward. Listen here: https://bit.ly/3SMrQkT
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In the arms race of cybersecurity, it’s important to stay on top of the evolving risks. To educate business professionals, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and MIT xPRO in collaboration with Simplilearn, have created a Cybersecurity Leadership Course. Find out more: https://bit.ly/3zu5bCD
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Please find below a list of new resources highlighting research from across the lab.
July 2024 Newsletter
MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) on LinkedIn
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55 years ago today Apollo 11 took off — and then landed a man on the moon — thanks to software from an MIT team led by 32-year-old Margaret Hamilton. Full video: http://bit.ly/2XxYlDM (v/MAKERS Women) More: https://bit.ly/4d38NKi NASA - National Aeronautics and Space Administration
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MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) PhD candidate Shannon Shen works in the lab's Clinical Machine Learning Group. Shen's research aims at building better AI (for example, Large Language Models) for the end users, especially for expert users like doctors, lawyers, and even researchers. “This is a joint effort between Machine Learning and Human Computer Interaction — we need to design more accurate models as well as better ways for people and AIs to interact and collaborate,” he said. Shen cites the group’s recent work, Co-LLM, as an example. “It’s a method that enables collaboration between two or more language models of different expertise’s to provide better generations,” Shen said. “For example, let’s say we have a general language model like ChatGPT that can produce friendly responses but might not have enough expert knowledge, and another one that is trained to specialize in medicine. Our method makes it possible that the general language model ‘calls’ the medical model when needing to generate text involving the domain knowledge.” Read more about Shannon Shen and his research: https://bit.ly/3xN4lAJ
Shannon Shen
cap.csail.mit.edu
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Imagine a world where robots could delicately pack your groceries, and items like eggs are never crushed beneath heavier items MIT CSAIL’s RoboGrocery is a soft robotic system that could help us inch closer to that vision. It combines advanced vision technology, motor-based proprioception, soft tactile sensors, and a new algorithm to handle a continuous stream of unpredictable objects moving along a conveyor belt: https://bit.ly/3zzAOem Full X thread: https://bit.ly/4bISxNH
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To help business leaders stay ahead of cyber attackers, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and MIT xPRO collaborating with Simplilearn offer a course that covers hardware, cryptography, cloud security, risk management, and more. Learn about the course: https://bit.ly/3zu5bCD
Cybersecurity for Technical Leaders | Online Course | MIT CSAIL Alliances
cap.csail.mit.edu
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ICYMI: MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) PhD student Kumail Alhamoud's primary research focus is on the generalizability of machine learning systems. His main goal is to make deep learning systems deployable, reliable and robust under various distribution shifts. Hear more from Kumail about his research: https://bit.ly/47GOeQS
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Register for the Machine Learning in Business course taught by industry thought leaders from CSAIL and MIT Sloan School of Management. The upcoming machine learning course will provide a baseline to basic machine learning concepts and take you beyond primary application into effective implementation. The business course will demonstrate ways to develop sound machine learning strategies and empower you to apply cogent machine learning models within your current business structure. The course begins Wednesday, August 7. Register here: https://bit.ly/3KPLTIr