おすすめツイート
We’re excited to announce our preprint "Solving the compute crisis with physics-based ASICs"! Our team at @NormalComputing, together with collaborators at @ARIA_research, @ucsantabarbara, @Penn, @sfiscience, @Cornell, @ARPAE, and @Yale , has posted a new preprint: "Solving the…
at Normal we recently build an agent that runs for 21 days autonomously we probably need to optimize it...
Claude Sonnet 4.5 runs autonomously for 30+ hours of coding?! The record for GPT-5-Codex was just 7 hours. What’s Anthropic’s secret sauce?
Everyone knows RLHF and RLVR, but do you know the 17 other RLXX methods published in papers and blog posts? Here's a condensed list:
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,…
Today we're sharing our first research work exploring diffusion for language models: Autoregressive-to-Diffusion Vision Language Models We develop a state-of-the-art diffusion vision language model, Autoregressive-to-Diffusion (A2D), by adapting an existing autoregressive vision…
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…
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.…
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.…
United States トレンド
- 1. #WorldSeries 207K posts
- 2. Dodgers 255K posts
- 3. Freddie 95.8K posts
- 4. Klein 205K posts
- 5. Ohtani 136K posts
- 6. Kershaw 19.8K posts
- 7. Mookie 15.4K posts
- 8. Yamamoto 29.1K posts
- 9. #Worlds2025 9,421 posts
- 10. 2-12% River Pts N/A
- 11. Joe Davis 2,302 posts
- 12. Victory 159K posts
- 13. Lauer 5,207 posts
- 14. WHAT A GAME 42.6K posts
- 15. Will Smith 14K posts
- 16. 18 INNINGS 14.7K posts
- 17. Dave Roberts 6,286 posts
- 18. Wikipedia 58.9K posts
- 19. Bottom of the 18th 2,512 posts
- 20. Schneider 12.6K posts
おすすめツイート
-
Martin Larocca
@MartinLaroo -
Patrick Coles
@ColesThermoAI -
Matthias C. Caro
@IMathYou2 -
Contextual AI
@ContextualAI -
Henry Yuen
@henryquantum -
Marzieh Fadaee
@mziizm -
Marco Cerezo
@MvsCerezo -
Chroma
@trychroma -
Hsin-Yuan (Robert) Huang
@RobertHuangHY -
Faris Sbahi 🏴☠️
@FarisSbahi -
Robin Kothari
@RobinKothari -
Jannes Nys
@JannesNys -
Michał Stęchły
@mstechly -
Brandon T. Willard
@BrandonTWillard -
Kaelan Donatella
@KaelanDon
Something went wrong.
Something went wrong.