Results 151 to 160 of about 2,986,386 (301)
Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng +24 more
wiley +1 more source
Increasing AI Capacity Across The Federal Government: AI Talent Surge Progress and Recommendations
This report summarizes the National AI Talent Surge's progress on increasing AI capacity across the federal government and elaborates on recommendations for building AI capacity across the Federal ...
AI and Tech Talent Task Force +2 more
core
Cellulose Surface Modification Effects on Equilibrium and Non‐Equilibrium Wetting by Water
Molecular dynamics simulations of nanometer‐sized water droplets spreading on cellulose substrates show strong effects from surface chemistry on both equilibrium contact angles and spreading dynamics. ABSTRACT Chemical modification is an important route to tuning interactions between nanocellulose and its surrounding media. Specifically, it affects the
Jakob Wohlert, Lars Berglund
wiley +1 more source
Single‐filament material extrusion enables spatial stiffness programming through locally controlled thermal foaming of TPU. A data‐driven G‐code framework tunes porosity from 15.7% to 40.7% and hardness from 90 to 63 Shore A within and across layers. Monolithic hands and soft actuators consequently achieve distinct programmed motions without material ...
Rosanna Rifino +3 more
wiley +1 more source
AI Makes Inquiry More Urgent: Recommendations for Responsible Use in Social Studies Education
Practical recommendations—from modeling ethical AI use to using AI as a thought partner in inquiry design—help teachers integrate artificial intelligence in ways that strengthen student inquiry.
Jordan McGaughey +2 more
core +1 more source
An AI‐powered, robot‐assisted framework automatically produces, images, and analyzes 3D tumor spheroids to evaluate drug efficacy. Integrated modules handle spheroid formation, live/dead staining, brightfield imaging, and automated image analysis, including spheroid segmentation, viability and metrics to assess the drug treatment efficacy. The workflow
Dalia Mahdy +13 more
wiley +1 more source
Hybrid Continuum Robot Designs and Architectures for Healthcare Applications
Hybrid continuum robots represent an emerging class of flexible manipulators that blend materials, structures, and actuation concepts from the established fields of soft and continuum robotics. This review introduces an accessible framework to distinguish key hybridization approaches, surveys current designs aimed at complex clinical applications, and ...
Burak Ozdemir +4 more
wiley +1 more source
A case-specific psychological first aid AI recommendations app for rescue and first responders. [PDF]
Schwartz Tayri TM +4 more
europepmc +1 more source
Mutual Adaptation and Influence: Review of Latent Dynamics Models in Human–Robot Interaction
Robots are becoming better teammates by learning hidden patterns in how people act. This review covers how state‐of‐the‐art approaches leverage these patterns to help robots not only react but also anticipate and guide cooperation. Here, we synthesize a unifying framework for these approaches, classify and review existing works, and highlight key ...
Mason O. Smith +4 more
wiley +1 more source
Large language models (LLMs) constitute a transformative advancement in natural language processing, yet their development remains disproportionately skewed toward English.
Valentinelli, Paolo
core +1 more source

