Anthony Pai

❓ Do you believe Materials Science is everywhere? 10 years ago, a UC Berkeley materials science undergrad joined our lab. After a month reviewing corrosion papers, he quit — and went to a coding bootcamp. That moment stayed with me. Because hard science takes tremendous efforts and patience, progress rarely happens overnight. But when it does, it changes the world. Take Materials Science as an example, I would believe it is, quite literally, everywhere. From quantum materials to polymers, semiconductors, and beyond — Materials Science shapes the world we live in. And yet, its quiet brilliance often goes unseen. Let’s make this a live discussion, instead of chatting with ChatGPT... 👇 To all brilliant experts, please share one material and one application you know well or you are creating — in one sentence. I will gather them, to learn and for fun! A possible format: Application - Material + Core Function (highlight your company if you like). ➔ F-35 Fighter Jet – Radar-absorbent carbon/polymer composites that hide jet from radar (Lockheed Martin) ➔ Solar Cell – Perovskite film converting sunlight into electricity. ➔ Golden Gate Bridge – Zinc-rich primer shielding steel from salty fog. ➔ Sunscreen – Titanium oxide nanoparticles reflecting UV rays. ♻️ Friends, please repost to help gather more inputs and insights! #MaterialsScience #AdvancedMaterials #HardTech #Research P.S. Why this post? To remind us all that, in the era of AI, more people start replying on AI, yes, AI can certainly help, but human still need think and create harder (even slowly), which is vital for humankind evolution. Respect to Dr. Hitoshi Nakamura, check and learn about his battery experiments, you will know!

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Tensor Auto unveiled the world's first personal Robocar, accelerated by NVIDIA. Tensor’s Robocar is built on NVIDIA’s cloud-to-car AV platform, trained with NVIDIA datacenter GPUs and running on eight DRIVE AGX Thor SoCs with Blackwell GPU architecture, delivering 8,000 TOPS of AI compute. At its core: NVIDIA’s safety certified DriveOS, enabling real-time perception, advanced safety, and true autonomous driving. ⚡Discover Tensor’s Robocar → https://bit.ly/45sLSY7

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See how the NVIDIA #PhysicsNeMo library significantly accelerates simulations for geologic CO₂ storage. Traditionally, selecting suitable sites requires complex and time-consuming simulations. A new Fourier Neural Operator (FNO) model delivers high-resolution predictions in near real-time, boosting computational speed while maintaining predictive accuracy. Read the paper >

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Accelerate your materials science and chemistry simulations with NVIDIA ALCHEMI Toolkit-Ops, now available for GPU-accelerated, batched atomistic modeling. ⚛️ This toolkit bridges the gap between PyTorch and specialized spatial calculations to deliver high-throughput performance for MLIPs. Read the full technical breakdown here.

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Serve Robotics is redefining last-mile delivery on city sidewalks using NVIDIA Isaac Sim and Jetson Orin. See how physical AI and advanced simulation are transforming urban delivery. https://bit.ly/4aVbq1D

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Advanced Insights Episode 7 is coming next week. This one’s all about ROCm, the AMD open AI software stack that enables developers and researchers to accelerate innovation. Watch the short clip to learn more.

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Key Takeaways from Jensen Huang’s CES Keynote! Jensen Huang’s #CES26 keynote in Las Vegas was a strong reminder that #AI is now fundamentally reshaping data center design and economics. #NVIDIA’s message was clear: data centers are evolving into AI factories. Purpose-built for accelerated computing, massive parallelism, and real-time inference at scale. What stood out: - Accelerated computing as the new default for AI workloads - Tighter integration of GPUs, networking, and software stacks - Growing emphasis on power efficiency, density, and cooling as AI scales - A shift from general-purpose infrastructure to AI-optimized data centers For operators, hyperscalers, and infrastructure partners, the implications are significant: capacity planning, energy strategy, and architecture choices are now strategic differentiators. Laure De Bels Venessa Moffat Shruti Sethi Matteo Leone Campidelli jon LABAN Scott Sickmiller Christoph Streit Jack Hsieh Rex Chu Dennis W. Lesya Dymyd, PhD Colm Shorten Bruce Kao Michael Hänel Peter Liu Sean Wright Jon Summers Allison Boen David Esteban Avilés Rojas Ivett Ódor Maarten Trautmann Jonathan Evans Thomas Hofbauer Markus Gerber Dirk Baumert Kurt Steiner Mason Tung Patrick Petzenhauser Kasia Zabinska Swen Anderson Paul Mah Tuomas Koittola Seppo Ihalainen Henrik Børling Paul Aguilar Isabelle Kemlin Oliver Lien Ian Lovell Cecilia Hjertzell #moderndatacenters #hpc #cloudnative #combinedheatcompute #chc #sustainability #energyefficiency #decarbonization #scope3 #renewableenergy #circulareconomy #opensourcesoftware #heatharvesting #heatreuse #opensourcehardware #greendeal #rzdacheu #esg #esgreporting #liquidcooling #certification #dlc #immersioncooling #ddp Link: https://lnkd.in/dy93BxZx

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NVIDIA CEO Jensen Huang just laid out the blueprint for America’s AI century. In the #NVIDIAGTC keynote, live from Washington, D.C., he shared massive GPU deployments and quantum breakthroughs spanning secure government AI factories, robotics, and autonomous mobility. 🗒️ Full recap: https://bit.ly/47egcql ▶️ Livestream replay: https://bit.ly/47x2huq

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NVIDIA Founder and CEO Jensen Huang adds to the drumbeat of calls to address the urgent need for more skilled labor in the U.S. At Universal Technical Institute, Inc., we work with thousands of employer partners to fill their talent pipelines. This includes industry-aligned training like our new electrical program, which is designed to meet the demand for skilled professionals across high-growth sectors like renewable energy, industrial automation, and security systems.  https://lnkd.in/gWM5jb7K

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Video AI is making its way into the enterprise world, from on-prem inference to full-blown rendering. Hear from Alex Mashrabov, CEO & Founder of Higgsfield AI, on where the industry is heading and why AMD is built for it.

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Technological advancements don't always need to shape the future. Sometimes the most important ones are meant to preserve and honor the past. In collaboration with Tsinghua University’s School of Architecture, the “Smart Yingxian Pagoda 2.0” project aims to preserve the 1000-year-old heritage Yingxian Wooden Pagoda in China’s Shanxi Province. A digital twin of the pagoda captures every exquisite detail of its architecture and our #DaystarRobot - a six-legged intelligent robot dog helps monitor it. More on the project: https://lnkd.in/ginKpgrG

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Data center bandwidth limits are a thing of the past. 🚧 The massive demands of A.I. and GPU computing require a breakthrough. Our new post breaks down how PCIe Gen 7 PHY delivers the performance, reliability, and power savings needed to transform compute, storage, and networking. 128 GT/s is the new standard. Read Full Blog Here: https://lnkd.in/gGFgc_pu #AIComputing #HPC #PCIe #Bandwidth #Technology

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