Artificial Intelligence Task Force Meeting Recording - 04.04.25 [PDF]
A recording of the February 7, 2025 meeting of the Artificial Intelligence Task Force. Presentations include New state law forming AIR (AI Regulation Task Force) (Robert Cummings, Academic Innovation), CS graduate student presentation (Teresa DiMeola,
Artificial Intelligence Task Force. University of Mississippi
core +1 more source
Bio‐Inspired Artificial Ionic Mechanoreceptor
A skin‐inspired artificial mechanoreceptor based on ionic interactions is presented for biomimetic tactile sensing. Pressure‐driven ionic redistribution within microfluidic channels generates a self‐powered electrical signal without external bias. The generated waveform exhibits mechanoreceptor‐like temporal features, including overshoot and undershoot,
Mohammad Akbari +4 more
wiley +1 more source
Corrigendum to "Convergence of computer-aided drug discovery and artificial intelligence: Towards next-generation therapeutics" [Pharm. Sci. Adv. 4 (2026) 100100]. [PDF]
Zheng L +5 more
europepmc +1 more source
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar +9 more
wiley +1 more source
Correction: Dash et al. Improving Object Detection in High-Altitude Infrared Thermal Images Using Magnitude-Based Pruning and Non-Maximum Suppression. <i>J. Imaging</i> 2025, <i>11</i>, 69. [PDF]
Dash Y, Gupta V, Abraham A, Chandna S.
europepmc +1 more source
Inspired by skeletal muscles’ precision and endurance, CoilLCE integrates a self‐sensing liquid crystal elastomer/graphene artificial muscle with an embedded Joule‐heating copper coil, enabling closed‐loop multistage actuation with programmable intermediate states (strain accuracy of 2%), and antagonistic coordination (32% total strain). These features
Ziyun Zhang +9 more
wiley +1 more source
When Cancer Research Met Artificial Intelligence: From Machine Learning to Intelligent Oncology. [PDF]
Giansanti D.
europepmc +1 more source
Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang +3 more
wiley +1 more source
Artificial intelligence and tobacco use: A bibliometric analysis 1997-2026. [PDF]
Wang S, Zhang J, Chen L.
europepmc +1 more source
Advanced ink systems for solution‐processed textile triboelectric nanogenerators are systematically summarized, spanning conductive, tribo‐negative, and tribo‐positive layers. By connecting ink chemistry, deposition methods, and device function, the present review reveals the key governing principles of solution development and highlights practical ...
Xinlong Sun, Stephen Beeby
wiley +1 more source

