Results 181 to 190 of about 2,329,578 (354)
Neuromorphic Computing with Memcapacitors: Advancements, Challenges, and Future Directions
Neuromorphic computing reduces energy costs by integrating memory and processing in event‐driven architectures, achieving energy usage as low as 10–30 pJ per operation for memcapacitor‐based synapses. Memcapacitors are reviewed as strong contenders for neuromorphic computing, enhancing AI acceleration through charge‐based computations, high resistance,
Nada AbuHamra +4 more
wiley +1 more source
Abstract Futures markets are critical to price discovery and often dominate spot markets. We analyze the linkages between daily corn futures and spot prices in the United States using dynamic time warping. This nonparametric pattern recognition technique has several advantages over traditional time series methods.
Dragan Miljkovic +2 more
wiley +1 more source
First-Order Logic with Two Variables and Unary Temporal Logic
Kousha Etessami +2 more
openalex +2 more sources
In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley +1 more source
Alternating-time temporal logic
R. Alur, T. Henzinger, O. Kupferman
semanticscholar +1 more source
Designing Memristive Materials for Artificial Dynamic Intelligence
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao +5 more
wiley +1 more source
A Temporal Logic for Proving Properties of Topologically General Executions
Rachel Ben-Eliyahu, Menachem Magidor
openalex +1 more source
This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari +6 more
wiley +1 more source

