Results 91 to 100 of about 849 (213)

Harnessing Phase Dynamics Across Diverse Frequencies with Multifrequency Oscillatory Neural Networks

Advanced Intelligent Discovery, EarlyView.
Oscillatory Neural Networks (ONNs) are an emerging computing paradigm that encodes information in the phases of coupled oscillators. Traditionally, ONNs have been investigated using homogeneous frequency oscillators. However, physical hardware implementations are inherently subject to frequency mismatches, device variability, and nonuniformities.
Nil Dinç, Filip Sabo, Aida Todri‐Sanial   +2 more
wiley   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Autonomous X‐Ray Fluorescence Mapping for Nanoscale Chemical Speciation of Fine Particulate Matter

Advanced Intelligent Discovery, EarlyView.
We present X‐AutoMap, an autonomous X‐ray fluorescence mapping framework that integrates real‐time analysis with rule‐based computer vision to selectively target chemically relevant regions. By avoiding background‐dominated areas, the method reduces acquisition time by fourfold while enabling accurate particle‐level speciation.
Carlos Deleon, Dmitri Gavrilov, Peggy O’Day, Ajith Pattammattel   +3 more
wiley   +1 more source

Technology independent optimization when implementing sparse systems of disjunctive normal forms of Boolean functions in ASIC

Informatika
Objectives. The problem of choosing the best methods and programs for circuit implementation as part of digital ASIC (Application-Specific Integrated Circuit) sparse systems of disjunctive normal forms (DNF) of completely defined Boolean functions is ...
P. N. Bibilo, S. N. Kardash
doaj   +1 more source

Physics‐Grounded Probabilistic Bits for Hardware‐Efficient Intelligent Inference and Optimization

Advanced Intelligent Systems, EarlyView.
Si–SiNx interface traps are harnessed as a complementary metal–oxide–semiconductor‐compatible source of controllable randomness for probabilistic bits. Pulse‐width‐programmed stochastic capture converts nanoscale defect dynamics into Boltzmann‐consistent binary outputs, while a physics‐based Simulation Program with Integrated Circuit Emphasis model ...
Dokyoung Lee, Jun‐Young Park, Joon‐Kyu Han, Sungho Kim   +3 more
wiley   +1 more source

To What Extent Do Australian Government Metrics Align With Indigenous and Non‐Indigenous Conceptualisations of Wellbeing? A Scoping Review of Wellbeing Frameworks

Australian Journal of Social Issues, EarlyView.
ABSTRACT Indigenous wellbeing theories offer potential to better measure social and cultural determinants. This scoping review aimed to identify the types of metrics used by the Australian government to assess wellbeing and evaluate the alignment of current frameworks against Indigenous and non‐Indigenous conceptualisations of wellbeing.
Sophie Wright‐Pedersen, Edward J. O'Connor, Megan Rebuli, Tiana Thorne, Naomi Kakoschke, Ray Mahoney   +5 more
wiley   +1 more source

From Marginal to Central: Marginal Zone‐like B Cells as Critical Targets in Cladribine‐Treated Multiple Sclerosis

Annals of Neurology, EarlyView.
Objective Multiple sclerosis (MS) is a chronic autoimmune disease where B cells play a central pathogenic role. Cladribine, an oral therapy, provides durable benefits by reshaping lymphocyte populations, yet its specific long‐term impact on distinct B‐cell subsets is not fully understood.
Marta Pirronello, Mario Picozza, Gisella Guerrera, Silvia Corbisiero, Andrea Misiti, Roberta C. Placido, Alice Verdiani, Lorenzo de Marco, Manolo Sambucci, Elena Olivieri, Daniela F. Angelini, Esmeralda Quartuccio, Luca Prosperini, Carla Tortorella, Maria C. Buscarinu, Valeria Zancan, Francesca de Masi, Marco Salvetti, Claudio Gasperini, Giovanna Borsellino, Luca Battistini   +20 more
wiley   +1 more source

An Expanded Benchmarking of Beyond-CMOS Devices Based on Boolean and Neuromorphic Representative Circuits

IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 2017
The latest results of benchmarking research are presented for a variety of beyond-CMOS charge- and spin-based devices. In addition to improving the device-level models, several new device proposals and a few majorly modified devices are investigated ...
Chenyun Pan, Azad Naeemi
doaj   +1 more source

A Learning Probabilistic Boolean Network Model of a Smart Grid with Applications in System Maintenance

Energies
Probabilistic Boolean Networks can capture the dynamics of complex biological systems as well as other non-biological systems, such as manufacturing systems and smart grids.
Pedro Juan Rivera Torres, Chen Chen, Jaime Macías-Aguayo, Sara Rodríguez González, Javier Prieto Tejedor, Orestes Llanes Santiago, Carlos Gershenson García, Samir Kanaan Izquierdo   +7 more
doaj   +1 more source

Maximum-entropy large-scale structures of Boolean networks optimized for criticality

New Journal of Physics, 2015
We construct statistical ensembles of modular Boolean networks that are constrained to lie at the critical line between frozen and chaotic dynamic regimes.
Marco Möller, Tiago P Peixoto
doaj   +1 more source