Results 51 to 60 of about 329,541 (261)

Spintronic Bayesian Hardware Driven by Stochastic Magnetic Domain Wall Dynamics

Advanced Science, EarlyView.
Magnetic Probabilistic Computing (MPC) utilizes intrinsic stochastic dynamics in domain walls to establish a hardware foundation for uncertainty‐aware artificial intelligence. Thermally driven domain‐wall fluctuations, voltage‐controlled magnetic anisotropy, and TMR readout enable fully electrical, tunable probabilistic inference.
Tianyi Wang, Bingqian Dai, Shijie Xu, Kin Wong, Yaochen Li, Yang Cheng, Qingyuan Shu, Haoran He, Puyang Huang, Hanshen Huang, Xixiang Zhang, Kang L. Wang   +11 more
wiley   +1 more source

Rapid Proteome‐Wide Discovery of Protein–Protein Interactions With ppIRIS

Advanced Science, EarlyView.
ppIRIS is a lightweight deep learning framework for proteome‐wide protein–protein interaction prediction directly from sequence. By fusing evolutionary and structural embeddings with a regularized Siamese architecture, ppIRIS achieves state‐of‐the‐art accuracy across species, enables minute‐scale screening, and reveals biologically validated bacterial ...
Luiz Felipe Piochi, Di Tang, Johan Malmström, Yasaman Karami, Hamed Khakzad   +4 more
wiley   +1 more source

Optimal Grazing Exclusion Duration to Enhance Soil Carbon Sequestration in Degraded Grasslands

Advanced Science, EarlyView.
Across China, grazing exclusion reaches the national mean soil organic carbon recovery benchmark sooner in high‐MAP regions (> 500 mm), but recovery is much slower where MAP < 300 mm. Scaling this strategy to 70% of China's degraded grasslands would sequester about 1.52 Pg of soil carbon over 10 years—roughly 17% of annual global fossil‐fuel emissions.
Bin Zhang, Chongzhi Sun, Dongmei Xue, Paul Christiaan Struik, Tongrui Zhang, Jiayue Liu, Tingting Xing, Ziyang Liu, Shiming Tang, Ke Jin   +9 more
wiley   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

A Skills Gap Analysis of Farmer Directors of US Farmer Cooperatives

Agribusiness, EarlyView.
ABSTRACT Boards of directors are vital to firm performance and are an integral part of the decision‐making process of any business. Several studies have been conducted that observe corporate or nonprofit board characteristics, skills, and the board's connection to firm performance.
Jody S. Herchenbach, Brian C. Briggeman, Jason S. Bergtold, Aleksan Shanoyan, Sarah A. Low, Brandi Miller   +5 more
wiley   +1 more source

TacticAI: an AI assistant for football tactics

Nature Communications
Identifying key patterns of tactics implemented by rival teams, and developing effective responses, lies at the heart of modern football. However, doing so algorithmically remains an open research challenge.
Zhe Wang, Petar Veličković, Daniel Hennes, Nenad Tomašev, Laurel Prince, Michael Kaisers, Yoram Bachrach, Romuald Elie, Li Kevin Wenliang, Federico Piccinini, William Spearman, Ian Graham, Jerome Connor, Yi Yang, Adrià Recasens, Mina Khan, Nathalie Beauguerlange, Pablo Sprechmann, Pol Moreno, Nicolas Heess, Michael Bowling, Demis Hassabis, Karl Tuyls   +22 more
doaj   +1 more source

Growth of Omnichannel Grocery Retailing and Food Prices

Agribusiness, EarlyView.
ABSTRACT This paper examines the effects of the growth of omnichannel grocery retailing on food prices. We first develop a conceptual model of consumer choice and retailer pricing that allows us to evaluate changes in equilibrium prices, quantities, and profits with online channel growth and alternative pricing strategies.
Xiangwen Kong, Metin Çakır, Qingxiao Li   +2 more
wiley   +1 more source

Differential sensitivity of impedance plethysmography and photoplethysmography sensors to temperature-induced peripheral vasoconstriction

Scientific Reports
Impedance plethysmography (IPG) and photoplethysmography (PPG) are non-invasive techniques for measuring blood volume changes. This study investigated the differential responses of IPG and PPG to temperature-mediated vasoconstriction induced by localized
Seobin Jung, Seamus Thomson, Alexandros Pantelopoulos, Lindsey Sunden, Peter Richards, Shwetak Patel, Sam Sheng   +6 more
doaj   +1 more source

Is Youth's Engagement in Agribusiness an Opportunity or a Necessity? A Closer Look at the Situation in South Kivu, Eastern Democratic Republic of the Congo

Agribusiness, EarlyView.
ABSTRACT Despite the broad focus on necessity‐ and opportunity‐driven entrepreneurship in research and policy, the entrepreneurial dichotomy within the agribusiness context has not been adequately addressed. This study contributes to closing this knowledge gap by examining youth's perceptions of agribusiness through the lens of the push‐pull motivation
Cool Dady Mangole, Paul Martin Dontsop Nguezet, Shiferaw Feleke, Victor Manyong, Kamala Kaghoma Christian, Zoumana Bamba, Tahirou Abdoulaye   +6 more
wiley   +1 more source