🌐 Million-GPU AI factories need a new class of network.
NVIDIA Spectrum-X Ethernet Photonics is now in full production, bringing co-packaged optics to scale-out and scale-across AI factory deployments on the NVIDIA Vera Rubin platform.
Built with Taiwan’s silicon-to-system ecosystem, Spectrum-X Ethernet Photonics delivers 5x better power efficiency, higher resiliency, and faster deployment than traditional transceiver-based networks.
Learn more 👉 https://t.co/RoTtqr3VJT
The Radiation-Hardened Optical Backplane: imec's 4×56 Gbps EAM Driver and the ESA ProtoBIX Programme , by @NunoEngineering#EWCSpaceDeltaV https://t.co/gCE7j0WYxl
Blue Origin's Catastrophic Week, Europe Asks the Hard Question, and the Optical Instruments Doing the Real Work , by @NunoEngineering https://t.co/Tnlc6q8lGN
A Polish company from Wrocław just signed a lunar mineralogy contract with @Int_Machines Intuitive Machines.
Engineering failures teach. Scale is built company by company. The optical instruments do the real work.
📣 @HamamatsuPhoton has launched the S17348 Si PIN photodiode, delivering high-speed optical detection with strong infrared sensitivity. The sensor is designed for YAG laser systems and analytical instrumentation applications. https://t.co/C3JdqIcyn3 #EPICMembersNews#Photonics
@NASA’s latest Moon Base update highlighted a major shift toward sustained lunar infrastructure and operations.
The announcement featured SC funded @LunarOutpostInc’s Pegasus rover and @astrobotic’s Griffin lander as part of upcoming Moon Base missions supporting mobility, logistics, and surface operations ahead of Artemis crewed activity.
Read the full update here: https://t.co/RW9QULxuhV
What if robots could imagine the future before acting?
Researchers from Fudan, NUS, and Shanghai Innovation Institute unveil World Action Models (WAMs).
They merge predictive world models with action generation, so robots plan by simulating how the environment evolves, not just reacting.
Outperforms standard VLA models in physical reasoning and action plausibility across simulations and real-world tasks.
World Action Models: The Next Frontier in Embodied AI
Paper: https://t.co/Ia9fRvOfWg
Github: https://t.co/LgNMvYsMwS
Project: https://t.co/eZOG6FZjWi
Our report: https://t.co/8BbRWds6hy
📬 #PapersAccepted by Jiqizhixin
AI is unlocking breakthroughs in quantum computing.
🤝 We collaborated with the University of Innsbruck to tackle a core challenge in building useful quantum supercomputers: automatically designing efficient quantum circuits.
Using NVIDIA CUDA-Q, we built a multimodal diffusion model to synthesize quantum circuits from scratch, optimizing circuit structure and gate parameters simultaneously to produce shorter, lower-error circuits.
💡 The standout result: the AI model independently rediscovered the Quantum Fourier Transform — without being told what the solution should look like.
🔗 Learn more: https://t.co/y0nh9i7Tiu
SpaceChain’s first internally manufactured CubeSat, developed in partnership with SpaceBelt KSA, reflects our continued advancement in satellite-enabled secure systems.
This milestone highlights our growing in-house capabilities and commitment to strengthening resilient space-based infrastructure.
Learn more about our mission and technology at https://t.co/K4iq7bMCDd
#spacechain #cubesat #spacebeltksa #missioninorbit #ksa1
Introducing WALL-WM, our open-source World Model for embodied AI and the next piece of our open-source robotics stack.
Carving World Action Modeling at the Event Joints
Read the blog: https://t.co/50XVN1ZjaA
Why it matters
WALL-WM shifts robot world modeling from fixed-length action chunks to event-grounded video-action pretraining. It learns around events like reaching, contact, grasping, lifting, moving, and placing, so language, vision, and action align more naturally.
Why you should care
WALL-WM brings together:
•Event-grounded VLA pretraining
•Prior-aligned video-action architecture
•Wan-based video tower + randomly initialized action DiT
•Multi-view perception with sight-cone masking, tube patch masking, and Camera RoPE
•Event Mode for variable-length execution
•Unified Mode with Staircase Decoding
•DMuon for large-scale training
The goal: help robots learn what physically matters, not just what happens in the next fixed slice of time.
Code (coming soon): https://t.co/IST58Rfgpv
#opensource #EmbodiedAI
SpaceX filed 685 pages with the SEC. $18.7B revenue. $41.3B accumulated deficit. $1.75T valuation.
Both are the same industry. Different scales. Different timelines.
European photonics engineers presented rad-hard chip drivers at 74 Gbps, single-piece-of-glass telescopes for CubeSats, and photodiodes still transmitting from Mars on Sol 4890.