MIT-IBM Watson AI Lab
@MITIBMLab
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A collaborative industrial-academic laboratory focused on advancing fundamental AI research. Associated with the @MIT_SCC.
Cambridge, MA
Joined February 2019
RT @MIT: CodeSteer guides AI models to switch between text and code to solve tough problems. “A trainer may not be better than the star ath….
news.mit.edu
CodeSteer is a smart assistant from MIT that automatically guides large language models to switch between generating text and code, and to refine its response, until it answers a query correctly.
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RT @MITEngineering: Dean Anantha Chandrakasan has been named MIT’s new provost, effective July 1. He has served as the dean of the School o….
news.mit.edu
Anantha Chandrakasan, a professor of electrical engineering and computer science who has held multiple leadership roles at MIT, has been named the Institute’s new provost, effective July 1.
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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
Researchers from MIT and the MIT-IBM Watson AI Lab developed a framework that combines a large language model and a satisfiability modulo theories (SMT) solver to create complete and accurate travel...
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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
A new adaptive control system for autonomous drones minimizes trajectory tracking error. It uses AI to approximate the unknown forces that could affect the drone’s flight path and automatically pick...
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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
MIT researchers developed a computationally efficient method that could enable artists to design realistic simulations of elastic objects, like bouncy or squishy characters, for animated movies or...
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RT @phillip_isola: Check out our new work, CycleReward, below!. * Product: a drop-in replacement for things like CLIP; f(img, text) --> sco….
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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
A new artificial intelligence framework has identified cement alternatives to enhance concrete environmental and cost performance. The work was led by Soroush Mahjoubi, a postdoc in the MIT Concrete...
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RT @__YuWang__: 🎉 Our paper “M+: Extending MemoryLLM with Scalable Long-Term Memory” is accepted to ICML 2025!.🔹 Co-trained retriever + lat….
arxiv.org
Equipping large language models (LLMs) with latent-space memory has attracted increasing attention as they can extend the context window of existing language models. However, retaining information...
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RT @MITEngineering: The recipients of the 2025 Ruth and Joel Spira Awards for Excellence in Teaching are Emilio Baglietto, Kaitlyn Becker,….
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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
A new machine-learning model learns to pinpoint exactly where a particular sound occurs in a video clip without the need for human intervention. The model could have applications in areas like...
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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
A new method called self-disciplined autoregressive sampling (SASA) allows large language models to detoxify their own outputs, without sacrificing fluency.
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RT @pinyuchenTW: Really honored to receive @IEEEsps Industry Professional Leadership Award for my research and industry impact on machine l….
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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
A new multimodal tool combines a large language model with powerful graph-based AI models to efficiently find new, synthesizable molecules with desired properties, based on a user’s queries in plain...
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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
A new method assesses and improves the reliability of radiologists’ diagnostic reports. The framework helps clinicians choose terms that more accurately reflect the likelihood that certain conditions...
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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
A new large language model framework teaches LLMs to use an optimization solving algorithm to resolve complex, multistep planning tasks. With the LLMFP framework, someone can input a natural language...
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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
A hybrid AI approach known as hybrid autoregressive transformer can generate realistic images with the same or better quality than state-of-the-art diffusion models, but that runs about nine times...
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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
MIT researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans,...
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RT @MIT: A new method using generative AI produces sharp, lifelike 3D shapes that are closer in quality to the best model-generated 2D imag….
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RT @JustinMSolomon: Collected by team members @RickardGabriels+@JiachengZhu_ML with colleagues at @MITIBMLab! Understanding/traversing the….
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RT @FHKPetersen: Excited to share our NeurIPS 2024 Oral, Convolutional Differentiable Logic Gate Networks, leading to a range of inference….
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