Flexible No-Drift Data Glove Using Ultrathin Silicon for the Metaverse

Chemistry, Nanoscience, Materials Science, Metallic Materials, Information Science, Semiconductors and Information Devices,
no-drift sensor   ultrathin silicon   data glove   human-machine interface   metaverse  

Academic Background With the rapid development of the Metaverse, human-machine interface (HMI) technology has become a key link between virtual space and human users. Among these, gesture recognition technology is particularly important in the Metaverse, especially the precise capture of finger movements. Traditional bending sensors used for gestur...

Deep-Learning-Enhanced Metal-Organic Framework E-Skin for Health Monitoring

Chemistry, Nanoscience, Materials Science, Information Science, Semiconductors and Information Devices, Artificial Intelligence, Life Sciences, Bioengineering,
E-skin   Metal-organic framework   Deep learning   Health monitoring   Motion detection   Biomolecular sensing   Artificial intelligence  

Deep Learning-Enhanced Metal-Organic Framework E-Skin for Health Monitoring Academic Background Electronic skin (e-skin) is a technology capable of sensing physiological and environmental stimuli, mimicking human skin functions. In recent years, the potential applications of e-skin in fields such as robotics, sports science, and healthcare monitori...

Deep Bayesian Active Learning Using In-Memory Computing Hardware

Chemistry, Nanoscience, Engineering, Electrical Engineering, Information Science, Computer Science, Semiconductors and Information Devices, Artificial Intelligence,
in-memory computing   deep Bayesian learning   uncertainty capture   robot skill learning   efficient learning  

With the rapid development of artificial intelligence (AI) technologies, deep learning has made significant progress in complex tasks. However, the success of deep learning largely relies on massive amounts of labeled data, and the data labeling process is not only time-consuming and labor-intensive but also requires specialized domain knowledge, m...

A Monolithic 3D IGZO-RRAM-SRAM-Integrated Architecture for Robust and Efficient Compute-in-Memory

Engineering, Electrical Engineering, Information Science, Computer Science, Semiconductors and Information Devices, Artificial Intelligence,
compute-in-memory   monolithic 3D   RRAM   IGZO   3D stacking   neural networks   system optimization  

Monolithic 3D IGZO-RRAM-SRAM Compute-in-Memory Architecture: A Breakthrough in Improving Neural Network Computation Efficiency Background and Research Motivation As neural networks (NNs) continue to find applications in artificial intelligence, traditional computing architectures struggle to meet their needs for energy efficiency, speed, and densit...

Integration of High-κ Native Oxides of Gallium for Two-Dimensional Transistors

Chemistry, Nanoscience, Engineering, Electrical Engineering, Materials Science, Information Science, Semiconductors and Information Devices,
2D semiconductors   gallium oxide   high-κ dielectric   transistors   surface-tension-driven method   ultrathin layer   interface quality  

Report on the Integration of High-κ Gallium Oxide in 2D Transistors Academic Background With the continuous advancement in semiconductor technology, 2D materials (such as molybdenum disulfide, MoS₂) are considered promising candidates for next-generation transistor channel materials due to their unique electrical properties and atomic-scale thickne...