https://artificialneuroscience.vercel.app/ Daily intelligence at the AI / neuroscience intersection. Synopses, weekly long-form, and the signature Implications format. en-us Sun, 17 May 2026 12:00:00 GMT https://artificialneuroscience.vercel.app/weekly/three-labs-one-conclusion-snn-accuracy https://artificialneuroscience.vercel.app/weekly/three-labs-one-conclusion-snn-accuracy Sun, 17 May 2026 12:00:00 GMT Across four independent papers this week, the gap between spiking neural networks and dense ANNs collapsed in ways that look less like coincidence and more like a community having quietly found the right recipe. The implications for AI architecture are larger than the field is yet acknowledging. https://artificialneuroscience.vercel.app/digest/2026-05-16 https://artificialneuroscience.vercel.app/digest/2026-05-16 Sat, 16 May 2026 00:00:00 GMT Today's items move further from pure ML and further into the territory the publication exists to cover: where biological systems supply structural ideas, where measurement of unusual brain states becomes tractable, and where benchmarks finally exist for the harder bio-flavored problems. https://artificialneuroscience.vercel.app/digest/2026-05-15 https://artificialneuroscience.vercel.app/digest/2026-05-15 Fri, 15 May 2026 00:00:00 GMT A measurement-flavored day. Three of today's items propose new ways to characterize what a model has internalized, or how internal representations evolve under self-supervision. The interpretability conversation is shifting from 'what does a unit do' to 'how do entire representational geometries match across models and brains.' https://artificialneuroscience.vercel.app/digest/2026-05-14 https://artificialneuroscience.vercel.app/digest/2026-05-14 Thu, 14 May 2026 00:00:00 GMT The spiking-neural-network stack matured visibly this week. Three independent groups published work attacking the same problem — making spike-driven computation accurate enough and accessible enough to deploy — from three different angles. The pattern is hard to ignore.