🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

A free PDF of the 1996 Neuro-Dynamic Programming book by myself and John Tsitsiklis, the 1st book in #reinforcementlearning, has been posted at web.mit.edu/dimitrib/www/N… An AI-generated podcast that summarizes the book can be found at notebooklm.google.com/notebook/c21b0…

🚦 New tool evaluates progress in reinforcement learning. IntersectionZoo, a benchmarking tool developed by LIDS PI Cathy Wu and collaborators, uses real-world traffic problems to test progress in deep reinforcement learning algorithms. Learn more: bit.ly/4iZ1jup

I am pleased to share podcasts (<30 mins) describing two of my books: Neuro-Dynamic Programming. notebooklm.google.com/notebook/c21b0… A Course in Reinforcement Learning notebooklm.google.com/notebook/a4a87… Free PDF of both books can be found at web.mit.edu/dimitrib/www/b…

Imagine a world without MIT.

🧠 AI's Blind Spot: Negation. New research led by Marzyeh finds that VLMs struggle with understanding negation words like "no" and "not," leading to potential errors in high-stakes fields such as medical diagnostics. bit.ly/4jZT7f2

With AI, researchers predict the location of virtually any protein within a human cell: Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs. news.mit.edu/2025/researche…

In Boston for Robotics Tech Week? Come learn about Physical AI from MIT’s Sertac Karaman, Amazon Robotics, the Industrial Innovation Fund, and our friends at F-Prime. RSVP here: lu.ma/iwgoe3b9

🚨 Rare failures in complex systems (like airline meltdowns) can cause chaos. A new method from Chuchu Fan and collaborators predicts these events by analyzing sparse failure data and normal operations, leading to big innovations in safety in automation. bit.ly/3SUhNcE

“We have a very long history in behavioral economics to know that people are very bad at making decisions,” MIT Economics professor Ashesh Rambachan says. betterworld.mit.edu/spectrum/issue… MIT EECS J-PAL MIT LIDS MIT School of Engineering MIT Schwarzman College of Computing

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

🎯 New adaptive control system could help autonomous drones stay on target in uncertain environments. Developed by LIDS PI Navid Azizan w/ Sunbochen Tang and Haoyuan Sun, the system automatically learns to adapt to unknown disturbances like gusting winds. bit.ly/3TlaPxA

Melding data, systems, and society. A new book from Munther Dahleh details the creation of MIT IDSS, 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

Planning a trip soon? A new framework from LIDS PI Chuchu Fan and collaborators from the MIT-IBM Watson AI Lab 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

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!

Unpacking the bias of large language models. A new study, from MIT LIDS PI Ali Jadbabaie, grad student Xinyi Wu, MIT CSAIL 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 Schwarzman College of Computing

🧠💻 New “smart coach” boosts AI’s problem-solving superpowers! CodeSteer, a smart assistant from Chuchu Fan, Yongchao Chen, 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

🔍 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