Conventional artificial intelligence (AI) systems are facing bottlenecks due to the
fundamental mismatches between AI models, which rely on parallel, in-memory, and …

The memristor has recently demonstrated considerable potential in the field of large‐scale
data information processing. Metal halide perovskites (MHPs) have emerged as the leading …

Organic memristors have emerged as promising candidates for neuromorphic computing
due to their potential for low‐cost fabrication, large‐scale integration, and biomimetic …

The advancement of the Internet of Things and artificial intelligence has increased the
demand for air quality monitoring to protect human health. Nitrogen dioxide (NO2), a …

CsCu2I3 is considered a promising material for lead-free resistive switching (RS) memory
devices due to its low operating voltage, high on/off ratio, and excellent thermal and …

For over a decade, linear and symmetric weight updates have remained the elusive holy
grail in neuromorphic computing. Here, we unveil a kinetically controlled molecular …