Results 61 to 70 of about 29,428 (264)

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

A Decoding Algorithm of Resolver Based on Third-order Angle Tracking Observer

Kongzhi Yu Xinxi Jishu, 2020
In electric drive system, resolver decoder chip is expensive and its related circuits are complicated. In order to reduce system cost, a software decoding algorithm based on third-order angle observer was proposed according to the characteristics of ...
YU Kang, GUO Zhida, CHEN Lei, CHEN Jianming, ZHOU Cheng, LIU Wang   +5 more
doaj  

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

Joint Uncertainty Decoding with Unscented Transform for Noise Robust Subspace Gaussian Mixture Models

, 2012
Common noise compensation techniques use vector Taylor series (VTS) to approximate the mismatch function. Recent work shows that the approximation accuracy may be improved by sampling.
Renals, Steve, Ghoshal, Arnab, Steve Renals, Lu, Liang, Liang Lu, Arnab Ghoshal   +5 more
core  

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

Advanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong, Xieyu Chen, Aarthy Nagarajan, Yi Yang, Zhihao Wang, Rui Yu, Chuang Zheng, Chunmei Ouyang, Xueqian Zhang, Tun Cao, Ranjan Singh, Zhen Tian   +11 more
wiley   +1 more source

Spectral-Guided Mask Generation for Error Correction Code Transformers

IEEE Transactions on Machine Learning in Communications and Networking
Neural decoders have recently advanced error correction performance, with transformer-based architectures in the error correction code transformer (ECCT) framework achieving state-of-the-art results among neural decoders. However, the multiple-masks ECCT
Linh Nguyen, Quoc Bao Phan, Tuy Tan Nguyen   +2 more
doaj   +1 more source

Hydroxylation of the eukaryotic ribosomal decoding center affects translational accuracy.

, 2014
The mechanisms by which gene expression is regulated by oxygen are of considerable interest from basic science and therapeutic perspectives. Using mass spectrometric analyses of Saccharomyces cerevisiae ribosomes, we found that the amino acid residue in ...
Spivakovsky, E, Mackeen, MM, Cockman, ME, Ratcliffe, Peter, Kessler, B.M., Kessler, BM, Schofield, C.J., Ratcliffe, P.J., Loenarz, Christoph, Ratcliffe, PJ, Loenarz, C, Sekirnik, R., Wolf, A, Loenarz, C., Spivakovsky, E., Thalhammer, A, Ge, W., Wolf, A., Thalhammer, A., McDonough, M.A., Ge, W, Mackeen, M.M., Cockman, Matthew, Cockman, M.E., Sekirnik, R, Schofield, CJ, McDonough, MA, Schofield, Christopher   +27 more
core   +1 more source

Soft Maximum Likelihood Decoding using GRAND [PDF]

, 2020
© 2020 IEEE. Maximum Likelihood (ML) decoding of forward error correction codes is known to be optimally accurate, but is not used in practice as it proves too challenging to efficiently implement.
Ken R. Duffy, Amit Solomon, Duffy, Ken R., Solomon, Amit, Medard, Muriel, Muriel Medard   +5 more
core   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

GCRTcall: a transformer based basecaller for nanopore RNA sequencing enhanced by gated convolution and relative position embedding via joint loss training

Frontiers in Genetics
Nanopore sequencing, renowned for its ability to sequence DNA and RNA directly with read lengths extending to several hundred kilobases or even megabases, holds significant promise in fields like transcriptomics and other omics studies.
Qingwen Li, Qingwen Li, Chen Sun, Daqian Wang, Jizhong Lou, Jizhong Lou, Jizhong Lou   +6 more
doaj   +1 more source