Skip to main content
BTC / USDTCRYPTO107,400+2.19%ETH / USDTCRYPTO3,840+2.13%SOL / USDTCRYPTO182.40−1.99%BNB / USDTCRYPTO652.30+0.66%XRP / USDTCRYPTO2.2150+1.61%DOGE / USDTCRYPTO0.3850−1.79%TON / USDTCRYPTO5.240+2.34%AVAX / USDTCRYPTO42.60−2.07%LINK / USDTCRYPTO22.40+2.28%ADA / USDTCRYPTO1.0520−1.68%TRX / USDTCRYPTO0.3300+0.92%DOT / USDTCRYPTO8.420+2.93%BTC / USDTCRYPTO107,400+2.19%ETH / USDTCRYPTO3,840+2.13%SOL / USDTCRYPTO182.40−1.99%BNB / USDTCRYPTO652.30+0.66%XRP / USDTCRYPTO2.2150+1.61%DOGE / USDTCRYPTO0.3850−1.79%TON / USDTCRYPTO5.240+2.34%AVAX / USDTCRYPTO42.60−2.07%LINK / USDTCRYPTO22.40+2.28%ADA / USDTCRYPTO1.0520−1.68%TRX / USDTCRYPTO0.3300+0.92%DOT / USDTCRYPTO8.420+2.93%
定价
macroJul 5, 2026, 5:46 AM

Chinese Team Turns Memory Chip Flaw Into Neuromorphic Computing Breakthrough

Researchers repurposed a known defect in next-generation memory chips—conductance drift—into a computing tool, enabling personalized 'digital brain twins' and real-time clinical applications, giving China an edge in neuromorphic computing and brain-machine interfaces.

A team of researchers has converted a well-known shortcoming of next-generation memory chips—conductance drift—into a functional advantage for computing. The innovation reportedly paves the way for personalized "digital brain twins" and real-time clinical applications.

According to the source, this development gives China a significant competitive edge in the fields of neuromorphic computing and brain-machine interface technology. No further details on the team, the specific chip architecture, or the timeline for practical deployment were provided.

Source: First Squawk