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
MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
Higher Education
Cambridge, MA 152,065 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 and lifelong educator Charles Leiserson is working on solutions that will support continued improvements in computing performance and help today’s engineers and programmers adjust to and thrive in a post-Moore's Law era. Read more about Professor Leiserson and his research: https://bit.ly/471z4Gk
Charles Leiserson
cap.csail.mit.edu
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MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) PhD student Shannon Shen works alongside Professor David Sontag in the lab’s Clinical Machine Learning Group. Shen's aim is to build better AI (for example, Large Language Models) for the end users like doctors, lawyers, and even researchers. Shen says, "we need to design more accurate models as well as better ways for people and AIs to interact and collaborate." Hear more from Shen about his research: https://bit.ly/462d6n9
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A new study from MIT researchers found that despite human expectations, large language models don't behave like people. This misalignment can cause even an extremely capable model to fail unexpectedly when deployed in the real world.
Large language models don’t behave like people, even though we may expect them to
news.mit.edu
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CSAIL Alliances member EY is part of the MachineLearningApplications@CSAIL research initiative, which allows them access to the most up-to-date research and foresight into how those cutting edge technologies will make an impact. The EY team calls the relationship a “two-way exchange,” where EY offers CSAIL researchers industry insight and priorities, which can be useful in crafting research questions for deep impact, and in return EY gets perspective on what is coming down the research pipeline and what innovations they should be factoring into their strategy. Read more about how EY connects with CSAIL: https://bit.ly/4deuSpl
EY
cap.csail.mit.edu
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While neural networks have made a seismic impact on the design of robotic controllers, it’s been difficult to verify the safety & stability of complex robots powered by them 🧵 Researchers from MIT CSAIL & elsewhere have developed approaches to rigorously certify Lyapunov conditions in complicated robotic systems. Their algorithm creates neural network controllers with stability guarantees for robots, potentially enabling safer deployment for drones & AVs: https://bit.ly/3Yd3KDf Full X thread: https://bit.ly/4cWDPnS
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A real-to-sim-to-real approach for more precise home robots. Full video: bit.ly/3WtzL8L
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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
Cybersecurity for Technical Leaders | Online Course | MIT CSAIL Alliances
cap.csail.mit.edu