Announcing a joint research program with INSAIT - Institute for Computer Science, Artificial Intelligence and Technology — a newly established, world-class institute for computer science and AI in Sofia, Bulgaria. The institute was created by collaborating with ETH Zürich and EPFL. The program will support INSAIT’s new tenure-track faculty spending a year at MIT CSAIL, driving cutting-edge research and building long-term collaboration via joint research projects: https://lnkd.in/exjeW2_B
MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
Higher Education
Cambridge, MA 162,946 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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MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) reposted this
Global IT External Partnerships | Corporate Strategy | Digital Transformation | Venture & R&D Innovation | Ecosystem Development
Earlier this year, I was honored to be recognized as the 2025 CSAIL Alliances Connector—a testament to the remarkable collaboration between Bayer and MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). This newly published article captures what made that recognition so meaningful: • Translating real scientific needs into focused engagements through curated faculty meetings, targeted recruitment, and platforms like Tech Talks. I extend special thanks to my colleagues for their invaluable participation and contributions: Ethan Pickering, Steffen Vogler, Jagat Adhiya, and Franziska Lobig, among others. • Amplifying Bayer’s data science efforts to foster broader scientific exchange. • Building shared momentum, exemplified by the opportunity to connect with Prof. Manya Ghobadi and her startup, Systalyze—demonstrating what’s possible when curiosity meets opportunity. I would also like to thank Christiana K., Audrey Woods, and the CSAIL Alliances team for the thoughtful write-up and for the ongoing collaboration that continues to advance science and technology. #CSAIL #TeamBayer #DataScience #Innovation #AI #LifeSciences Bijoy Sagar, Dr. Matthias Vennemann
Celebrating the 2025 CSAIL Alliances Connector: Luis Muniz, Ph.D. of Bayer The CSAIL Alliances Connector Award recognizes member representatives who forge meaningful relationships between CSAIL researchers and their colleagues, diligently follow both research and market trends, advocate for collaboration at every level, and ultimately empower the future of technology. As Bayer’s Director of Global IT External Partnerships, Dr. Muniz exemplifies what it means to be a Connector: a bridge-builder and strategic thinker who brings people together for real, measurable impact. Congratulations, Dr. Muniz! Read more about Dr. Muniz's work here: https://bit.ly/4etAluy
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Could generative AI improve how robots perform? MIT method uses genAI to refine specific parts of a robot blueprint & tests new 3D designs in simulation. It created a machine that out-jumped & landed more consistently than a human-designed robot: https://lnkd.in/eh2UGPej
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Celebrating the 2025 CSAIL Alliances Connector: Luis Muniz, Ph.D. of Bayer The CSAIL Alliances Connector Award recognizes member representatives who forge meaningful relationships between CSAIL researchers and their colleagues, diligently follow both research and market trends, advocate for collaboration at every level, and ultimately empower the future of technology. As Bayer’s Director of Global IT External Partnerships, Dr. Muniz exemplifies what it means to be a Connector: a bridge-builder and strategic thinker who brings people together for real, measurable impact. Congratulations, Dr. Muniz! Read more about Dr. Muniz's work here: https://bit.ly/4etAluy
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Can a robot learn what its own body looks like — just by watching itself move? W/Neural Jacobian Fields (NJF), CSAIL researchers show that it can. Using just one external camera, NJF enables robots to infer the structure of their joints & limbs — no built-in sensors or prior models required. This work opens new doors for adaptable, self-aware machines: https://bit.ly/3I21HMg
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Are entry level jobs being replaced by AI? Newsweek asks CSAIL Director Daniela Rus. Millions of students are graduating and entering the workforce. What does AI mean for them? Read CSAIL Director Daniela Rus' opinion here: https://lnkd.in/eteUBxmr
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Are you interested in AI and it's relation to the finance industry? Read about FinTechAI@CSAIL, a research initiative focused on how AI will impact finance, the opportunities it offers, and the obstacles companies should keep in mind. Read about it here: https://bit.ly/3G7cHXX
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ICYMI: MIT CSAIL Assistant Professor Sara Beery is working on computer science methods that will help scientists approach the giant job of monitoring global biodiversity at scale, tackling real-world challenges such as adapting models for distribution shifts, object identification in visual data, and more. She is also passionate about giving ecologists, biologists, and non-computer scientists the tools to create their own AI solutions, with the aim of leveraging technology to improve and accelerate conservation efforts around the globe. Read more about Prof. Beery and her ongoing research: https://bit.ly/3APmGOO
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