Normal Computing 🧠🌡️ @NormalComputing
We build AI systems that natively reason, so they can partner with us on our most important problems. Join us https://t.co/BcjWCoID0G. normalcomputing.com New York, NY Joined June 2022-
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Diffusion for everything! We share a recipe to start from a pretrained autoregressive VLM and, with very little training compute and some nice annealing tricks, turn it into a SOTA diffusion VLM. Research in diffusion for language is progressing very quickly and in my mind,…
Diffusion for everything! We share a recipe to start from a pretrained autoregressive VLM and, with very little training compute and some nice annealing tricks, turn it into a SOTA diffusion VLM. Research in diffusion for language is progressing very quickly and in my mind,…
More than $5 million in new funding from several private companies—including @Fidelity and @NormalComputing—will expand Maryland’s Quantum-Thermodynamics Hub, co-led by Nicole Yunger Halpern (@nicoleyh11), and support it for three more years. Read more: go.umd.edu/227t
Live from #AIInfraSummit: Maxim Khomiakov (@maximkhv) is on the Demo Stage presenting “Normal EDA: AI-Native Verification Without the Rework.” Mission-critical design verification is fragmented and manual. Humans (and LLMs) are struggling to tame the mathematical complexity of…
It’s been an incredible couple of days at #AIInfraSummit so far. If you haven’t yet, swing by before the end of the summit and chat with our team on how AI is transforming chip design and verification. See the demo today at 1:15–1:30pm PDT on the Demo Stage.
The Normal Computing team is ready for #AIInfraSummit! The Normal Computing team is setting up at Booth 725. Come meet with the team this week to learn how we’re rethinking chip verification with AI-native tools.
On Sept 11, 1:15–1:30pm PDT, don’t miss Maxim Khomiakov (@maximkhv) on the Demo Stage at #AIInfraSummit presenting “Normal EDA: AI-Native Verification Without the Rework." If you care about chip verification speed, accuracy, and AI’s role in silicon, this is the session for you!
Heading to Santa Clara next week for #AIInfraSummit? Stop by Booth 725 to meet with our team and see Normal EDA in action. Teams use Normal EDA to generate full, production-grade collateral from specs, accelerating signoff, reducing engineering effort, and surfacing edge cases…
Read more at arxiv.org/abs/2508.20883 Including scaling LRW up to image generation with Stable Diffusion 3.5 🐱 Really fun work with @MaxAifer @blip_tm @ColesThermoAI
Thrilled to share that I’ll be at #AIInfraSummit 2025 in two weeks, representing the Normal Computing team! On Sept 11 (1:15–1:30pm PDT), I’ll be on the Demo Stage presenting: “Normal EDA: AI-Native Verification Without the Rework” Verification teams use Normal EDA to generate…
Thrilled to share that I’ll be at #AIInfraSummit 2025 in two weeks, representing the Normal Computing team! On Sept 11 (1:15–1:30pm PDT), I’ll be on the Demo Stage presenting: “Normal EDA: AI-Native Verification Without the Rework” Verification teams use Normal EDA to generate…
New paper on arXiv! And I think it's a good'un 😄 Meet the new Lattice Random Walk (LRW) discretisation for SDEs. It’s radically different from traditional methods like Euler-Maruyama (EM) in that each iteration can only move in discrete steps {-δₓ, 0, δₓ}.
Normal Computing is heading to #AIInfraSummit as an official Event Partner, and we’re bringing our latest breakthroughs in AI-native chip verification with us. Visit us at our booth for a live demo of our unified, physics-aware EDA platform to enable 2x faster time-to-market.…
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