MIT Laboratory for Information and Decision Systems (LIDS)

A causal theory for studying the cause-and-effect relationships of genes. New methods from LIDS PI Caroline Uhler and grad student Jiaqi Zhang, could potentially reveal insights into gene interactions, paving the way for targeted treatments. More at MIT News: https://bit.ly/3Z5j7gW Eric and Wendy Schmidt Center MIT EECS MIT Schwarzman College of Computing Broad Institute of MIT and Harvard

#GenAI doesn’t have a coherent understanding of the world, despite its impressive output. New research from LIDS PIs Ashesh Rambachan and Sendhil Mullainathan, shows that even the best-performing #LLMs don’t form a true model of the world and its rules, and can thus fail unexpectedly on similar tasks. More at MIT News: https://bit.ly/40JJvON?

Congrats to LIDS PI Chuchu Fan, named to the 2025 Young Innovators Program of the Office of Naval Research for her work on “Interactive Testing, Assessment, and Repair for Rapid Autonomy Adoption.” Learn more at MIT AeroAstro: https://bit.ly/4fk9Neq.??

Can #LLM’s replace classical machine learning techniques for ML tasks? MIT LIDS PI Kalyan Veeramachaneni and Sarah Alnegheimish share their recent findings in VentureBeat, along with thoughts on best practices and guardrails for #AI.?Read the article: https://bit.ly/3BZTqVV

Artificial intelligence is a top priority for businesses everywhere as leaders start to realize its transformative value in improving how their companies operate, make decisions, and deliver results. ? To truly reap the benefits of AI, especially generative AI, executives must embrace the need to develop a deep understanding of the technology, its use cases, ethics, and more, according to Eric So, an MIT Sloan professor of global economics and management. He and Sertac Karaman, an MIT professor of aeronautics and astronautics and director of the MIT Laboratory for Information and Decision Systems (LIDS), lead the AI Executive Academy, a new MIT Sloan Executive Education course offered jointly by MIT Sloan and the MIT Schwarzman College of Computing that looks at the technical and business aspects of AI and its impact across industries. ? At a recent webinar about the potential of AI for executives, So and Karaman discussed how executives can navigate the new technological landscape, including six ways leaders can embrace AI.

A T-RO paper from researchers at MIT Laboratory for Information and Decision Systems (LIDS) and Industrial & Enterprise Systems Engineering at University of Illinois Urbana-Champaign have proposed a hybrid system stability analysis framework that offers a principled explanation to the traffic breaks (rolling roadblocks) emergent behavior for a single autonomous vehicle to simultaneously stabilize multiple lanes. https://lnkd.in/ga9BXTVY Paper title: Hybrid System Stability Analysis of Multi-Lane Mixed-Autonomy Traffic Authors: Sirui Li, Roy Dong, and Cathy Wu #IntelligentTransportationSystems #AutonomousVehicle #TrafficBreak #HybridSystem #StabilityAnalysis

In a 5Q with the Center for Data Innovation, LIDS PI Devavrat Shah talks about the future of #AI and how his MIT spinout, Ikigai Labs, helps companies apply AI to more effectively leverage their data.?Read the 5Q: https://bit.ly/48bgYTS

Congrats to LIDS PI Marija Ilic, recipient of the 2024 IEEE PES Prabha S. Kundur Power System Dynamics and Control Award! Acknowledged specifically for her pioneering contributions to hierarchical and distributed modeling and control of large power systems, this award recognizes Ilic’s outstanding contributions to the understanding and control of the dynamics of the power system. Read more: https://bit.ly/488rNWD

For those interested, I will be sharing work presented at the 2024 IEEE ITSC on rural electromobility in Iceland at the MIT Laboratory for Information and Decision Systems (LIDS) Climate Tea Talk tomorrow, from 4:00-4:30 PM ET. I will go over the CTEC simulator we created and the results from the Icelandic case study that I detailed in my post from about a week ago. Consider stopping by!

Helping robots zero in on the objects that matter LIDS PI Luca Carlone, together with LIDS postdoc Lukas Schmid and graduate students Yun Chang, Nathan Hughes, and Dominic Maggio, and MIT Lincoln Laboratory collaborators, have developed a new method called Clio that enables robots to quickly map a scene and to make intuitive, task-relevant decisions. Learn more at MIT News and read their paper in the journal Robotics and Automation Letters: https://bit.ly/3Bxhnnq MIT AeroAstro MIT Schwarzman College of Computing MIT School of Engineering