Here, resistive switching (RS) devices are fabricated using naturally abundant, nontoxic,
biocompatible, and biodegradable biomaterials. For this purpose, 1D chitosan nanofibers …

The pursuit of advanced brain‐inspired electronic devices and memory technologies has led
to explore novel materials by processing multimodal and multilevel tailored conductive …

Hardware neural networks with mechanical flexibility are promising next-generation
computing systems for smart wearable electronics. Overcoming the challenge of develo** …

Inspired by brain-like spiking computational frameworks, neuromorphic computing-brain-
inspired computing for machine intelligence promises to realize artificial intelligence (AI) …

Advances in the semiconductor industry have been limited owing to the constraints imposed
by silicon-based CMOS technology; hence, innovative device design approaches are …

Synaptic devices for neuromorphic computing, remarkably those destined for next-
generation applications, are increasingly considering ferroelectric tunnel junctions (FTJs) as …

While biological vision systems excel at in-memory processing with low power consumption,
traditional silicon-based vision chips struggle with high energy demands. This gap motivates …

This paper explores the use of video analytics by leveraging accelerated FPGA technology
in combination with high-performance computing, specifically utilizing two **linx Alveo …