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China‑Korea neuromorphic & photonic chip breakthroughs

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2026-07-27 05:53 UTC → 2026-07-29 08:36 UTC · added removed

China China‑Korea neuromorphic & photonic chip advances breakthroughs

In early July 2026, researchers from 2026 the Peking University and the Chinese Academy of Sciences announced team released a 40‑nanometre 40 nm neuromorphic chip that mimics human brain networks in real time. Using a compute‑in‑memory design, the chip achieved performance can emulate cortical dynamics with sub‑10 ms latency, delivering up to several hundred times 478‑times faster reconstruction of brain surfaces than Nvidia’s an Nvidia A100 GPU in simulated cortical‑surface tasks and was touted for medical applications such as personalized brain models, surgical navigation and ultra‑low‑latency brain‑computer interfaces. Later in July, the same Chinese team demonstrated while consuming a fraction of the power. The chip’s ability in‑memory compute‑in‑memory architecture, based on a conductance‑drift array, was shown to operate with sub‑10 ms latency, matching the speed of human neurons model both white‑matter and reinforcing its suitability for gray‑matter structures, supporting real‑time brain‑computer interfaces interfaces, surgical navigation and neuro‑degenerative‑disease research. The report also included a collaborative research on neuro‑degenerative diseases. A joint effort with South Korean scientists who unveiled researchers yielded a programmable photonic integrated circuit capable of that exploits the coupled‑resonator induced transparency (CRIT) effect to provide on‑chip delay, buffering and frequency conversion, aimed at boosting promising energy‑efficient AI acceleration for data‑center efficiency. Together, workloads. On 27 July the work highlighted Chinese group demonstrated the chip’s 0.28 mm² device operating at 50 MHz and confirmed the performance gap (up to several hundred‑fold faster than GPUs) while maintaining low power. The following day a push memristor‑based version was reported in *Science*, showing 3.8–36.3 × faster operation than state‑of‑the‑art ASICs and 11.8–24.7 × lower energy use. Both advances reinforce the trajectory toward next‑generation, ultra‑low‑latency, low‑power computing neuromorphic platforms that combine neuromorphic and integrate photonic technologies support for advanced next‑generation AI and medical uses. biomedical applications.

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  1. 2026-07-29 08:36 UTC China‑Korea neuromorphic & photonic chip breakthroughs
  2. 2026-07-27 05:53 UTC China neuromorphic chip advances

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