Results 81 to 90 of about 5,654 (232)

Proteomic Signatures of Ectopic Fat Distribution: Tissue‐Specific Drivers and Clinical Implications

Med Research, EarlyView.
Integration of plasma proteomics and multi‐organ MRI in 666 UK Biobank participants, combined with a knockoff‐based causal inference and machine learning framework, reveals organ‐specific drivers of ectopic fat: PLA2G1B (pancreas), ERBB2/IGFBP2 (liver), CA14 (muscle), and NCAM2/TNFRSF10B (pericardium). These drivers engage distinct pathways (e.g., PI3K‐
Bing Zhang, Fen Yang, Xingji Lian, Jie He, Shuijin Huang, Mingjuan Fan, Yin Liang, Jiaqiang Huang, LongYan Yin, Hong Wang   +9 more
wiley   +1 more source

Dash: Accelerating Distributed Private Convolutional Neural Network Inference with Arithmetic Garbled Circuits

Transactions on Cryptographic Hardware and Embedded Systems
The adoption of machine learning solutions is rapidly increasing across all parts of society. As the models grow larger, both training and inference of machine learning models is increasingly outsourced, e.g. to cloud service providers.
Jonas Sander, Sebastian Berndt, Ida Bruhns, Thomas Eisenbarth   +3 more
doaj   +1 more source

Block-encoding structured matrices for data input in quantum computing [PDF]

Quantum
The cost of data input can dominate the run-time of quantum algorithms. Here, we consider data input of arithmetically structured matrices via $\textit{block encoding}$ circuits, the input model for the quantum singular value transform and related ...
Christoph Sünderhauf, Earl Campbell, Joan Camps   +2 more
doaj   +1 more source

Application of Non‐Isothermal Network Theory With Curved‐Channel Element Characteristics to Predict Melt Conveying in High‐Performance Single‐Screw Extruders

Journal of Polymer Science, EarlyView.
This study presents a fast and accurate calculation tool to predict conveying of polymer melts in single‐screw extruders. Integrating generalized sub‐models into network theory allows to represent the complex screw shapes and material behavior more realistically. Tests on an industrial extruder show close agreement with experiments, outperforming older
Daniel Herzog, Wolfgang Roland, Christian Marschik, Gerald Berger‐Weber   +3 more
wiley   +1 more source

A Reliability Evaluation Flow for Assessing the Impact of Permanent Hardware Faults on Integer Arithmetic Circuits

IEEE Access
Arithmetic circuits are fundamental building blocks in modern digital computers, allowing for precise mathematical operations and driving the digital age.
Nikolaos I. Deligiannis, Juan-David Guerrero-Balaguera, Riccardo Cantoro, Serag E. D. Habib, Matteo Sonza Reorda   +4 more
doaj   +1 more source

Brain‐Inspired Neuromorphic Device for Artificial Intelligent Robots Applications

SmartBot, EarlyView.
Brain‐inspired neuromorphic devices mimic biological systems to provide an efficient hardware foundation for embodied intelligent robotics. This review explores the material systems and corresponding computing architectures of neuromorphic devices that support low‐power perception, adaptive learning, and real‐time decision‐making.
Jiachen Han, Zheng Wang, Tianyu Wang, Jialin Meng   +3 more
wiley   +1 more source

Non-commutative arithmetic circuits with division

Proceedings of the 5th conference on Innovations in theoretical computer science, 2014
Summary: We initiate the study of the complexity of arithmetic circuits with division gates over non-commuting variables. Such circuits and formulae compute \textit{non-commutative} rational functions, which, despite their name, can no longer be expressed as ratios of polynomials.
Pavel Hrubeš, Avi Wigderson
openaire   +3 more sources

Machine Learning‐Guided Near‐Infrared Laser Processing for Precise Geometry Control in Microneedles with Downstream microLED‐Triggered Photothermal Functionality

Small, EarlyView.
Machine learning‐guided near‐infrared laser processing enables predictive fabrication of microneedles with application‐specific geometries. The optimized metal templates are translated into polymeric microneedles and integrated with a flexible microLED platform.
Ismail Eş, Burak M. Gormus, Pinar Ayas, Irfan Ullah, Christopher M. Proctor   +4 more
wiley   +1 more source

Machine Learning Using Approximate Computing

Journal of Low Power Electronics and Applications
Approximate computation has emerged as a promising alternative to accurate computation, particularly for applications that can tolerate some degree of error without significant degradation of the output quality.
Padmanabhan Balasubramanian, Syed Mohammed Mosayeeb Al Hady Zaheen, Douglas L. Maskell   +2 more
doaj   +1 more source

Phase‐inversion constructed Mo2C@NC microreactor with optimized pyridinic N p‐band center for high‐performance Li–S batteries

Smart Molecules, EarlyView.
A phase‐inversion constructed Mo2C@NC microreactor activates the intrinsic catalysis of nitrogen‐doped carbon via interfacial electron redistribution. Strong charge transfer to pyridinic N optimizes the p‐band center, enabling efficient lithium polysulfide adsorption, fast redox kinetics, and long‐term stable, high‐rate Li–S battery performance ...
Fangyi Chu, Helong Jiang, Xiangcun Li, Xuri Wang, Gaohong He, Xiaobin Jiang, Xuehua Ruan   +6 more
wiley   +1 more source