MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)

In an analysis of over 160,000 transplant candidates, MIT & Massachusetts General Hospital researchers found that race is linked to how likely an organ offer is to be accepted on behalf of a patient: https://lnkd.in/ewD5HBqQ

ICYMI: Have we achieved Artificial General Intelligence? MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) Professor Manolis Kellis argues yes. Computers can do nearly every intellectual task that humans are capable of and are rapidly tackling the physical tasks. What does this mean for the future of AI integration, regulation, and development? Hear Professor Kellis’ ideas about this on the Alliances podcast with host Kara Miller: https://bit.ly/4gLeuPE

MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and INSAIT - Institute for Computer Science, Artificial Intelligence and Technology at Sofia University “St. Kliment Ohridski” have launched a new joint research program to accelerate progress in computer science and AI through international collaboration. The INSAIT–MIT CSAIL Joint Research Program is designed to promote academic excellence, foster cross-institutional partnerships, and enable high-impact research. As part of the initiative, incoming tenure-track faculty at INSAIT will have the opportunity to spend a year at MIT CSAIL, collaborating on research projects of shared interest. This program reflects CSAIL’s broader commitment to advancing foundational research in AI and computer science while building bridges across the global scientific community. We are deeply grateful to INSAIT for their vision and partnership, and to the America for Bulgaria Foundation and the Lead by Example Foundation for their support in making this initiative possible. We look forward to the discoveries and innovation this collaboration will enable. https://lnkd.in/ez7YR2qU

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

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

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

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

Happy Friday! Subscribe to CSAIL Weekly to stay current on the news and research from MIT's largest lab. This week: training robots with cameras, designing robots with AI, and advancing AI in FinTech.

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

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