Unconventional AI
unconv.ai · 424 words · saved by 3 readers
Unconventional AI is rethinking the foundations of compute to bring biology-scale energy efficiency to AI.
Skip to content grant careers Founded by experts in AI systems, analog circuits, computing theory, and neuroscience, we are rethinking the foundations of computing to bring biology-scale efficiency to artificial intelligence. Announcement Nearly 100 submissions, five projects, $100,000 each. Meet the first cohort of the Unconventional Grant, at Stanford, UT Austin, Yale, MIT, and UC Berkeley. Sep 10, 2026 Research Sparsity in coupled oscillator networks cuts up to 98.4% of connections in our Un-0 image generation model while improving performance by 1.9 FID on ImageNet 64x64. Aug…
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