greatsky.aiCrawled Nov 7, 2026
Why new hardware is needed for AI, how superconductors and light address scaling issues, and the performance this enables.
Great Sky founder Jeff Shainline joins EE Times' Brains and Machines podcast to break down the physics behind Great Sky's superconducting neural networks.
Great Sky has been selected for Phase I of the DOE's Genesis Mission, partnering with Brookhaven National Laboratory to scale its superconducting neural networks for real-time fusion diagnostics and beyond.
The DeepSeek moment sent shockwaves through the AI world. Jeff Shainline unpacks what it actually means — and why it makes the case for Great Sky stronger than ever.
Launching compute into space is an idea that has recently gained attention. Looking closely at the implications, it is clear that superconducting optoelectronic networks (SOENs) bring tremendous advantages relative to conventional computational systems for large-scale AI in space.
Ten years in development, new superconducting, optically connected architecture overcomes the limits of GPUs and transformers—unlocking multimodal intelligence operating a million times faster than current approaches.
Ken Segall of Great Sky discusses superconductors’ role in advancing AI at the IEEE Council on Superconductivity.
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A new class of AI hardware from first principles. Photonics, superconductors, and brain-inspired architecture for compute beyond silicon.
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