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Convert Any PDF into Audio – Here’s How! LAMM@MIT, thanks for sharing Don't miss out on the latest AI advancements! Sign up here to stay informed! bit.ly/42q3Yae #AI #DigitalTransformation #ChatGPT #ContentMarketing #Technology

Convert Any PDF into Audio – Here’s How! LAMM@MIT, thanks for sharing Don't miss out on the latest AI advancements! Sign up here to stay informed! bit.ly/4idF8jU #AI #DigitalTransformation #ChatGPT #ContentMarketing #Technology

Honored to be the JMR Distinguished Invited Speaker at #S25MRS today! I'll be presenting my talk: “Physics-Aware AI for Scientific Discovery” -- multi-agent models, real-world feedback, and bio-inspired intelligence, toward autonomous reasoning systems for science. Thur April 10,

Automation of scientific inquiry represents the event horizon of what we've been approaching for centuries: a full decoupling of human-accessible technology from human comprehension. And lacking collective consciousness, we cannot stop ourselves from plunging over the cataract.

At the molecular level, biological materials like silk and collagen defy conventional logic by building exceptional strength from intrinsically weak chemical interactions: Hydrogen bonds, π–π stacking, and hydrophobic forces. In our latest paper "Design and sustainability of

PDF2Audio now supports all new OpenAI reasoning models: o1, o3, o4-mini, as well as GPT-4.1 (and many others) - and yes, even GPT-4o with voice! The tool allows you to take advantage of these powerful models to generate podcasts, lectures, summaries & many more types in a highly

Try it here: huggingface.co/spaces/lamm-mi…

Since 1865, MIT has played a vital role in keeping American science and innovation at the forefront of progress.

Professor Markus J. Buehler is at the forefront of materials science innovation. Join him at MIT for a hands-on, five-day course on #AI-driven #MaterialsDesign—and master the skills you need to create next generation, high-performance products. Markus J. Buehler 🔗 Apply:

It’s going to be a great week this summer at MIT! Please reach out via DM if you have any questions.

Master #AgenticAI tools and cutting-edge additive manufacturing techniques on-campus in Predictive Multiscale Materials Design (June 2–6). Markus J. Buehler Don’t miss this opportunity to take part in hands-on labs and acquire the knowledge you need to create next-generation

Are you interested in shaping the future discovery of materials? Join Markus J. Buehler for his five-day live online course Machine Learning for Materials Informatics (July 28 - Aug. 01, 2025). You’ll explore modern materials informatics tools and learn to enhance the speed,

MIT Predictive Multiscale Materials Design Short Course: June 2–6, 2025, MIT Campus, Cambridge, MA TL;DR: An in-person, high-impact week of deep technical lectures, hands-on labs, interactive clinics, networking events, and participant talks—all focused on the future of

Imagine a world without MIT.

🤖 MechAgents—multi-agent LLMs solving mechanics problems! AI agents collaborate to plan, code, execute & validate FEM solutions for elasticity problems. 🧠 Physics-based + generative AI = new automation frontier in engineering. 🔗doi.org/10.1016/j.eml.… Markus J. Buehler

Just out in npj Journals Artificial Intelligence (link to #paper in comment): PRefLexOR shows that reinforcement-focused training can foster scientific reasoning progress without adding ever-larger parameter counts. In the long arc from rule-based expert systems to

Yes - the framework is generally applicable! You can also easily integrate other domain specific rules, PDEs, scaling laws etc. into PRefLexOR including tools and agents within the reasoning and reflection phases!

Congrats Zhenze Yang 杨镇泽 !

Reflecting on a week of discovery and learning at #MIT: The 2025 Predictive Multiscale Materials Design Short Course MIT Professional Ed Last week, we had an exciting and intellectually vibrant time at the Predictive Multiscale Materials Design (PMMD) Short Course at MIT. It was a