Results 71 to 80 of about 80,323 (233)

Tunable Dynamics via Dual‐Ion Modulation for Event‐based Data Processing Using a Highly Uniform and Self‐Rectifying Memristor Array

Advanced Science, EarlyView.
Tunable dynamics of an interface‐type memristor array enabled by dual‐ion modulation through Ag nanoclusters are demonstrated. A 32 × 32 one‐resistor (1R) array exhibits 100% yield with high temporal/spatial uniformity (<3%) and a rectification ratio of 105.
Yoonho Cho, Dawon Kim, Jeonghong Lee, Dae‐won Kim, See‐On Park, Jongmin Bae, Taehwan Jang, Shinhyun Choi   +7 more
wiley   +1 more source

HyperTube: A Framework for Population-Based Online Hyperparameter Optimization with Resource Constraints

IEEE Access, 2020
Online data streaming has become one of the most common data forms in the modern world, which imposes a strong demand for developing hyperparameter optimization techniques for online learning algorithms.
Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran   +3 more
doaj   +1 more source

All Organic Fully Integrated Neuromorphic Crossbar Array

Advanced Electronic Materials, EarlyView.
In this work, the first fully integrated crossbar array of electrochemical random‐access memory (ECRAM) that is composed entirely of organic materials is represented. This array can perform inference and in situ parallel training and is capable of classifying linearly separable 2D and 3D classification tasks with high accuracy.
Setareh Kazemzadeh, Tim Stevens, Yoeri van de Burgt   +2 more
wiley   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

Free-Streaming Online Tracking in CBM [PDF]

EPJ Web of Conferences
A free-streaming track reconstruction method has been developed for the CBM experiment at GSI. As a reconstruction core, it uses the existing singleevent tracking based on the Cellular Automaton, but the approach to the freestreaming tracking is generic ...
Gorbunov Sergey, Zharko Sergei, Akishina Valentina   +2 more
doaj   +1 more source

Clinical utility of pharyngeal high‐resolution manometry with impedance for upper esophageal sphincter dysfunction in gastroenterology

Advances in Digestive Medicine, EarlyView.
Abstract Pharyngeal high‐resolution manometry with impedance (P‐HRM‐I) is an established assessment method used to evaluate pharyngeal swallowing. It provides precise quantification of swallowing biomechanics that enable the detection of alterations in swallowing physiology.
Mistyka Schar, Taher Omari, Michal Szczesniak, Chien‐Lin Chen, Richard Heddle, Charles Cock   +5 more
wiley   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

COSMN: Clustering-Based Optimization for 360-Degree Live Streaming over Mobile Networks

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems
The rapid growth of 360-degree video streaming has transformed how users experience immersive content, especially on mobile devices. However, delivering high-quality 360-degree video streams to mobile devices is challenging due to their constrained ...
Hung Nguyen Viet, Hoang Bui Huy, Cong Tran Thanh, Huong Truong Thu   +3 more
doaj   +1 more source