Results 171 to 180 of about 5,203 (262)

Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design

Advanced Science, EarlyView.
ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang, Depeng Kong, Zhiao He, Jikai Liang, Yuyao Lu, Zikang Deng, Honghe Li, Mengke Wang, M. Jamal Deen, Zhiqiu Ye, Shuyao Zhou, Huayong Yang, Honghao Lyu, Jun Chen, Kaichen Xu, Geng Yang   +15 more
wiley   +1 more source

Comparative Evidence-Based Model Choice: A Sketch of a Theory. [PDF]

Entropy (Basel)
Bandyopadhyay PS, Shetty S, Brittan G.
europepmc   +1 more source

Entropy, Statistical Evidence, and Scientific Inference: Evidence Functions in Theory and Applications. [PDF]

Entropy (Basel), 2022
Taper ML, Ponciano JM, Dennis B.
europepmc   +1 more source

Bayesian Epistemology

, 2015
Hartmann, Stephan, Sprenger, Jan
openaire   +3 more sources

A smart headband for multimodal physiological monitoring in human exercises

Advanced Science, EarlyView.
A novel smart headband incorporating a thermal‐sensation‐based electronic skin is presented for continuous and accurate multimodal physiological monitoring, including pulse waveforms, total metabolic energy expenditure, heart rate, and forehead temperature, across both static and dynamic daily activities.
Shiqiang Liu, Guanxing Chen, Jingyi Peng, Shuo Tian, Qian Mao, Caise Wei, Jinfeng Yuan, Rong Zhu   +7 more
wiley   +1 more source

On Bayesian problem-solving: helping Bayesians solve simple Bayesian word problems [PDF]

Frontiers in Psychology, 2015
Sirota, Miroslav, Vallée-Tourangeau, Gaëlle, Vallée-Tourangeau, Frédéric, Juanchich, Marie   +3 more
openaire   +5 more sources

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

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source

Precise or Imprecise Probabilities? Evidence from Survey Response Related to Late-Onset Dementia. [PDF]

J Eur Econ Assoc, 2022
Giustinelli P, Manski CF, Molinari F.
europepmc   +1 more source

Unveiling Localized Heat in Lithium‐Ion Cells for Intelligent Temperature Sensing

Advanced Energy and Sustainability Research, EarlyView.
Heat generation, thermal responses, and intelligent management in batteries. Lithium‐ion batteries (LIBs) power electric vehicles, portable electronics, and grid‐scale storage, yet their safety, performance, and lifetime are constrained by thermal effects.
Yunke Wang, Yuzhu Yuan, Javed Alam, Guangpeng Zhang, José V. Anguita, Zijian Wang, Kai Yang   +6 more
wiley   +1 more source