Recent breakthroughs in brain-inspired computing promise to address a wide range of
problems from security to healthcare. However, the current strategy of implementing artificial …

Human visual neurons rely on event-driven, energy-efficient spikes for communication, while
silicon image sensors do not. The energy-budget mismatch between biological systems and …

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

The imitation of human visual memory demands the multifunctional integration of light
sensors similar to the eyes, and image memory, similar to the brain. Although humans have …

Biomimetic humidity sensors offer a low‐power approach for respiratory monitoring in early
lung‐disease diagnosis. However, balancing miniaturization and energy efficiency remains …

Memristive neuromorphic networks have great potential and advantage in both technology
and computational protocols for artificial intelligence. Efficient hardware design of biological …

Most memristive bionic circuits focus on how to realize bionic functions, few studies consider
the biomimetic of the circuit structure and operation rules, so it is difficult to learn, memorize …

As a two-dimensional (2D) inorganic molecular van der Waals crystal, Sb 2 O 3 has been
widely recognized as an excellent dielectric and encapsulation material due to its wide …