Results 221 to 230 of about 52,284 (313)

Spiking Neural Networks in Imaging: A Review and Case Study. [PDF]

open access: yesSensors (Basel)
Voudaskas M   +4 more
europepmc   +1 more source

Bimodal Mechanoluminescence Enables Multicolor Luminescent Tailing for Ultra‐Accurate Loading Speed Visualization and Detection

open access: yesAdvanced Science, EarlyView.
MgF2 exhibits a speed‐dependent mechanoluminescence (ML) color distribution arising from distinct ML lifetimes, showing blue emission under slow sliding and multicolor emission under fast sliding. A promising method for evaluating ML lifetime is proposed based on the trailing effect. By synergistically integrating instantaneous and persistent ML with a
Shulong Chang   +8 more
wiley   +1 more source

Research on Resistive Switching Mechanism of SnO2/SnS2 Based Heterojunction Memory Devices

open access: yesAdvanced Electronic Materials, EarlyView.
This work fabricates SnO2/SnS2 RRAM using (NH4)4Sn2S6, achieving 224 pJ set energy at 0.4 V with >1000‐cycle stability and 4 × 104 s retention. XPS/SEM/AFM‐validated interfacial engineering enables uniform switching, advancing low‐power neuromorphic memory development.
WenBin Liu   +4 more
wiley   +1 more source

AI‐Assisted Bioelectronics for Personalized Health Management

open access: yesAdvanced Electronic Materials, EarlyView.
Recent advances in artificial intelligence (AI)‐assisted bioelectronics, including materials, device fabrication, working mechanisms, AI‐hardware integration, and proof‐of‐concept applications in digital health management, are summarized. The emergence of AI‐assisted bioelectronic systems and potential solutions to existing challenges are discussed ...
Huiwen Xiong   +6 more
wiley   +1 more source

Triboelectric Tactile Transducers for Neuromorphic Sensing and Synaptic Emulation: Materials, Architectures, and Interfaces

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
Triboelectric nanogenerators are vital for sustainable energy in future technologies such as wearables, implants, AI, ML, sensors and medical systems. This review highlights improved TENG neuromorphic devices with higher energy output, better stability, reduced power demands, scalable designs and lower costs.
Ruthran Rameshkumar   +2 more
wiley   +1 more source

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