Image classification on edge devices requires models that maintain accuracy while reducing inference cost. This paper reviews the development of image classification models from convolutional neural networks to Vision Transformer models and examines ...
Energy-efficient neural computing is increasingly limited not by computational throughput but by memory access and data movement. In-memory computing architectures offer a promising solution by collocating storage and computation, yet their practical...
As all-solid-state battery (ASSB) technologies continue to advance, interest has resurfaced in mid-nickel (mid-Ni) LiNixCoyMnzO2 (NCM; x = 0.5) cathodes due to their enhanced structural stability, reduced oxygen evolution, and higher capacities at el...
The female reproductive system, including the endometrium, placenta, ovary, cervix, and fallopian tube, plays a critical role in conception, implantation, and fetal development. Recent advances in bioengineered models such as organoids, organ-on-a-ch...
The need for processing complex and temporal datasets has increased with the rise of artificial intelligence. In this context, reservoir computing, which utilizes the short-term memory of the reservoir to map input data into a high-dimensional space,...
Exosome-mimetic lipid nanoparticles (ENPs) are a promising alternative to PEGylated lipid nanoparticles (LNPs) for targeted cancer therapy, offering improved biocompatibility and reduced immune clearance. However, the rational design of these biomime...
Real-time monitoring of the surrounding gas environment, including our inhaled and exhaled atmosphere, is a crucial but underdeveloped technology for personalized healthcare. Recent advancements in wearable sensing technologies and AI algorithms prom...
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