MIT-IBM Watson AI Lab
@MITIBMLab
A collaborative industrial-academic laboratory focused on advancing fundamental AI research. Associated with the @MIT_SCC.
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MIT and @MITIBMLab researchers have developed a universal guide for estimating the performance of an LLM based on smaller models in the same family, saving time, money, and compute. news.mit.edu/2025/how-build…
CodeSteer guides AI models to switch between text and code to solve tough problems. “A trainer may not be better than the star athlete … but the trainer can still give helpful suggestions,” Yongchao Chen says. “This steering method works for LLMs, too.” news.mit.edu/2025/smart-coa…
Dean Anantha Chandrakasan has been named MIT’s new provost, effective July 1. He has served as the dean of the School of Engineering since 2017 and as MIT’s inaugural chief innovation and strategy officer since 2024. news.mit.edu/2025/anantha-c…
A new AI framework from @MIT and the @MITIBMLab supercharges language models, so they can reason over, interactively develop, and verify valid, complex travel agendas. news.mit.edu/2025/inroads-p…
MIT researchers have unveiled an AI-driven adaptive control system for autonomous drones, significantly cutting trajectory errors in the face of unpredictable winds. news.mit.edu/2025/ai-enable…
A new mathematical approach from @MIT researchers allows animators to simulate rubbery and elastic materials in a way that preserves the physical properties of the material and avoids pitfalls like instability. news.mit.edu/2025/animation…
Check out our new work, CycleReward, below! * Product: a drop-in replacement for things like CLIP; f(img, text) --> score * Idea: cycle-consistent mappings are good (encourages descriptive text, penalizes hallucinations), so we train a reward model to check for this
Image-text alignment is hard — especially as multimodal data gets more detailed. Most methods rely on human labels or proprietary feedback (e.g., GPT-4V). We introduce: 1. CycleReward: a new alignment metric focused on detailed captions, trained without human supervision. 2.…
With demand for cement alternatives rising, an MIT team develops a machine-learning method to hunt for new ingredients across the scientific literature. news.mit.edu/2025/ai-stirs-…
🎉 Our paper “M+: Extending MemoryLLM with Scalable Long-Term Memory” is accepted to ICML 2025! 🔹 Co-trained retriever + latent memory 🔹 Retains info across 160k+ tokens 🔹 Much Lower GPU cost compared to backbone LLM arxiv.org/abs/2502.00592
The recipients of the 2025 Ruth and Joel Spira Awards for Excellence in Teaching are Emilio Baglietto, Kaitlyn Becker, Jelena Notaros, and Jonathan Ragan-Kelley. engineering.mit.edu/connect/news/f…
Humans naturally learn by making connections between sight and sound. A new machine-learning model from MIT, @MITIBMLab and others can match corresponding audio and visual data, which could someday help robots interact in the real world. news.mit.edu/2025/ai-learns…
A new method from the @MITIBMLab helps large language models to steer their own responses toward safer, more ethical, value-aligned outputs. news.mit.edu/2025/training-…
Really honored to receive @IEEEsps Industry Professional Leadership Award for my research and industry impact on machine learning robustness and AI safety. Read more about my journey and vision in using signal processing for computational AI safety at x.com/pinyuchenTW/st…
The congratulations continue for our exemplary awards winners for advancing #signalprocessing and making a profound impact on our Society. #icasssp2025 #SPSAwards #IEEEAwards
A new multimodal tool from MIT and @MITIBMLab combines an LLM with powerful graph-based AI models to efficiently find new, synthesizable molecules for medicines and materials with desired properties based on a user’s queries in plain language. news.mit.edu/2025/could-llm…
A new framework from MIT and @MITIBMLab researchers helps clinicians choose phrases that more accurately reflect the likelihood that certain conditions are present in X-rays. news.mit.edu/2025/new-metho…
Researchers from MIT and the @MITIBMLab have developed a new framework that leverages an LLM's reasoning abilities to create a “smart assistant” that finds the optimal solution to multistep problems. news.mit.edu/2025/researche…
Research from MIT yields an AI tool that generates high-quality images faster than state-of-the-art approaches; further, it uses uses less energy and can run locally on a laptop or smartphone. news.mit.edu/2025/ai-tool-g…
Similar to the brain, new research from @MITIBMLab shows that LLMs have a "semantic hub" that abstractly processes data from diverse modalities in a central, generalized way. news.mit.edu/2025/large-lan…
A new method using generative AI produces sharp, lifelike 3D shapes that are closer in quality to the best model-generated 2D images. The system could be “a co-pilot for designers, making it easier to create more realistic 3D shapes,” Artem Lukoianov says. mitsha.re/a5GV50Ul6UG
Collected by team members @RickardGabriels+@JiachengZhu_ML with colleagues at @MITIBMLab! Understanding/traversing the (curved/low-ish-dimensional) space of “meaningful” model updates is a compelling research direction w/ possibility of efficient personalized tuning/compression.
This seems to be the world's largest open collection of LoRAs (Low-Rank Adaption). 500+ LoRAs In @huggingface
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