Introducing Spatial Memory for your robots. Spatiotemporal RAG. Open source. Coming soon.

Congratulations to the Chemify (Chemify) Team on the great progress, and excited to work with Wing VC and @InsightPartners for the next chapters!

🚨 BREAKING: Dimensional just launched an Operating System for physical world! 🧭 Their vision is to be what Android was for phones, but for robots. The company calls itself the “operating system for physical space.” Its universal framework lets developers build once and

Roche has signed a $55 million upfront deal with Manifold Bio, paying to the Boston startup to hunt for better ways of getting drugs into the brain. endpoints.news/roche-manifold…

What you’re seeing at Manifold Bio is what happens when two exponentials begin to resonate–the evolution of AI and the evolution of massively parallel molecular measurement and design. When we started Manifold Bio with Pierce , george church , and Shane Lofgren, we set out to do

Manifold and Roche partner for up to $2B There are lots of cool things about this deal. First off, obviously the science. Roche has been at the forefront of blood-brain barrier (BBB) delivery with really exciting early data around Trontinemab which opened this space up. And

Announcing Dimensional: the open-source OS for physical space. Command any robot in natural language. Program atoms, not bits.

Proud to be nominated for the 2025 GSA Most Respected Private Semiconductor Company Award! Honored to stand among incredible innovators shaping the future of silicon. See you at the ⭐️GSA Annual Awards Celebration⭐️ on Dec 4 in Santa Clara. 🔗gsaglobal.org/global-semicon… #GSA

Being on a podcast I'm a huge fan of is a bit surreal. Grateful to @SamCharrington and @TWIML for the space to talk about why this moment in AI + mathematics feels special -- not just because models are smarter, but because three worlds are finally converging: LLM reasoning,

This is exciting; I expect we are going to see a lot more things like this and it will be one of the most important impacts of AI. Congrats to the Future House team. edisonscientific.com/articles/annou…

🚀🧬 Our GEN II #CellFree DNA platform is redefining how #DNA is made!  No additional labor, resources, or cloning. Just hi-fidelity DNA for only $0.07/bp. 👉 Join our Early Access Program: bit.ly/3KadZmW  #GeneSynthesis #Biotech #Innovation

Announcing world’s cheapest 6-axis force torque sensor with <20 micron level sensitivity. $100 BOM - 30x cheaper than anything comparable. Force Load Capacity: 200 N Force Resolution: 200 mN Torque Load Capacity: 5 Nm Torque Load Resolution: 15 mNm Overload Capacity: 300%

Introducing Axiom’s discovery team, led by François Charton: We build models that will create novel constructions, map problems into solutions and intuitions, and learn the structure of entire mathematical worlds. Built to attack hard open problems, one at a time.

We've upgraded our data analysis agent (aka Finch) to be SOTA on multiple benchmarks, nearly match expert human performance, and it now has access to most datasets reported in papers in biorxiv. And it's on API!

Interesting post from owl asking whats next for antibody design. I agree with him that in vivo properties are likely the answer, but the question is how do we get there? The PDB has enabled de novo binding models to be incredibly successful. Properties like

Sheep of Wall Street 3) A platform that allows for rapid iteration (low cycle times) would be much more powerful than an AI model generating hits. Imo, Manifold Bio is the platform for rapid (in-vivo) drug development iteration. Roche agrees, based on their recent $2B deal. Manifold also

🚀The countdown begins! Join our webinar: “Silicon Photonics Optical Circuit Switches: Adapting Data Centers to AI Workloads.” 📅 Jan 15 🕐 9AM EST / 2PM UK/ 3PM CET 🔗 shre.ink/qjca Don’t miss this opportunity to explore the future of AI-driven data centers!

Congratulations to our founder Carina Hong: she was just named Forbes 30 under 30 (AI category) for her work building Axiom!

Video generation is too slow. 🐢 We're fixing it. Presenting "Foresight" at #NeurIPS2025 today: A training-free method (Adaptive Layer Reuse) for Diffusion Transformers. Our team (d-Matrix_AI and University of British Columbia) achieved a 1.63x speedup on models like OpenSora, with no loss in quality.

Asimov is building the future of genetic design, but even their advanced platform faced a bottleneck: reliable access to high-complexity DNA. With ENFINIA DNA, they found that "95% of our cloning works the first time." hubs.ly/Q03WFBlY0