MIT LIDS @MITLIDS
LIDS is an interdepartmental research lab in @MIT_SCC Affiliations include @MITEECS @MITAeroAstro @MITMechE @MIT_CEE @ORCenter @MITIDSS @MITSloan @eapsMIT lids.mit.edu Cambridge, MA Joined May 2024-
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LIDS PI @GioeleZardini has received a 2025 @DARPA Young Faculty Award (YFA)! The award will support research into scalable, verifiable design of multi-agent autonomous systems. Learn more: lids.mit.edu/news-and-event…
Can #LLMs grasp the real world? MIT & Harvard researchers (@m_sendhil, @asheshrambachan, @petergchang, @keyonV) propose a new way to test how predictive AI applies knowledge across domains. Learn more: bit.ly/3Hzv8FB
Beyond humbled to be on this year's #TIME100AI AI can be an asset for climate & energy - but only if its development is guided by actual climate needs & planetary limits. Shoutout to those in the community working to shape a responsible, equitable, climate-aligned AI future 🌍💪
🔍 LIDS researchers have created a new method to test AI text classifiers—spotting when tiny word changes trick them, and helping fix the flaws. Learn more about how this open source tool works. bit.ly/3JrzNda
As the new associate dean of the MIT Schwarzman College of Computing, @MITAeroAstro Prof. Youssef Marzouk will work to foster a stronger community among bilingual computing faculty across MIT. news.mit.edu/2025/youssef-m…
🚗💨 Eco-driving measures could significantly reduce vehicle emissions. New research from Cathy Wu and @MIT, @UtahDOT, & @ETH_en team shows automatically controlling vehicle speeds to mitigate traffic at intersections can cut carbon emissions 11–22 % bit.ly/418g9sI
A breakthrough in ML with symmetry MIT researchers led by LIDS PI Patrick Jaillet have developed the first provably efficient method to train models on symmetric data—saving time and data. Big potential for materials science, astronomy & climate research. bit.ly/4od2udP
🔍 A new way to create and edit images—no image generator required. LIDS & CSAIL researchers have developed a method that turns images into 1D strings of tokens and back again—guided by CLIP. The result? Easy inpainting, edits, and generation from scratch. bit.ly/4f5JfP3
🧠💻 New “smart coach” boosts AI’s problem-solving superpowers! CodeSteer, a smart assistant from Chuchu Fan, @YongchaoC, et al, guides LLMs on when to use text reasoning & when to switch to writing code, boosting LLM accuracy when solving complex problems bit.ly/4eX7XRL
Unpacking the bias of large language models. A new study, from @MITLIDS PI @jababi, grad student @XinyiWu98, @MITCSAIL colleagues, reveals the root cause of position bias in LLMs, paving the way for more accurate and reliable AI systems bit.ly/3Ikxo3o @MIT_CEE @MIT_SCC
1/6 Excited to share our latest preprint: "MORPH Predicts the Single-Cell Outcome of Genetic Perturbations Across Conditions and Data Modalities". 🔗 biorxiv.org/content/10.110… 🧵 👇 Here is what MORPH is in a nutshell!
Planning a trip soon? A new framework from LIDS PI Chuchu Fan and collaborators from the @MITIBMLab supercharges language models, so they can reason over, interactively develop, and verify valid, complex travel agendas. ✈️ Learn more about the new tool: bit.ly/3Zua4pA
Melding data, systems, and society. A new book from @MuntherDahleh details the creation of @mitidss, a unique kind of transdisciplinary center, uniting many specialties through a common need for data science. Learn more and read the book: bit.ly/4kJ0Nme
🎯 New adaptive control system could help autonomous drones stay on target in uncertain environments. Developed by LIDS PI @NavidAzizan w/ Sunbochen Tang and Haoyuan Sun, the system automatically learns to adapt to unknown disturbances like gusting winds. bit.ly/3TlaPxA
I am pleased to share the link to my videolecture from 5/2/2025, at Harvard University: Reinforcement Learning, Model Predictive Control, and Newton's Method for Solving Bellman's equation youtube.com/watch?v=ZBRouv… Slides at web.mit.edu/dimitrib/www/R…
An anomaly detection framework anyone can use. In a profile for MIT News, LIDS grad student Sarah Alnegheimish discusses how she aims to make machine learning systems more accessible, transparent, and trustworthy. bit.ly/444l9QS
In Boston for Robotics Tech Week? Come learn about Physical AI from MIT’s @SertacKaraman, Amazon Robotics, the Industrial Innovation Fund, and our friends at @FPrimeCapital. RSVP here: lu.ma/iwgoe3b9
In Boston for Robotics Tech Week? Come learn about Physical AI from MIT’s @SertacKaraman, Amazon Robotics, the Industrial Innovation Fund, and our friends at @FPrimeCapital. RSVP here: lu.ma/iwgoe3b9
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