Results 141 to 150 of about 2,986,386 (301)
Value co-creation by interactive AI in fashion E-commerce
Cogent Business & ManagementThis study focuses on the role of AI chatbots in facilitating co-creation between brands and consumers and explores user’s attitudes and perceptions toward AI stylists/chatbots.
Ashwini Ranjan, Ashwani Kumar Upadhyay
doaj +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Advanced Materials, EarlyView.Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Managers' Trust in AI Expert Recommendations
Managers today face increasing pressure to integrate AI-generated insights into their decision-making processes. This study examines how managers’ trust in expert recommendations varies depending on whether the advice is from a human or AI expert.
Carlson, Jonah
core +1 more source
Advanced Materials, EarlyView.Water harvesting, radiative cooling, and interfacial solar evaporation are fundamentally governed by coupled heat, mass, and light transport processes. These processes are mediated by pore architecture, including pore size, connectivity, and hierarchical organization.
Dejan J. Trajkovski +5 more
wiley +1 more source
Iterative Selection of DNA Nanostructures for Cellular Uptake
Advanced Materials, EarlyView.DNA nanostructures are promising cell targeting delivery vehicles for therapeutics, but the targeting behavior is not fully understood. In this study, libraries of DNA nanostructures that can be amplified and sequenced are combined with cellular uptake as a selection pressure to iteratively refine DNA structures taken up in cells to better understand ...
Anjali Rajwar +4 more
wiley +1 more source
Advanced Materials, EarlyView.Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh +5 more
wiley +1 more source
Advanced Materials, EarlyView.In situ PXRD data on solvothermal reactions accelerate materials discovery while simultaneously providing fundamental insights into complex crystal formation processes. Using PdxMy (M = Si, Ge, Sn, Pb) as an example, a general formation mechanism is identified, and specific synthesis strategies for ex situ preparation of SnPd2, Sn13Pd20, and SnPd ...
Anders Bæk Borup +1 more
wiley +1 more source
AI Accelerator Announces Award Winners
The Department of Air Force (DAF)-MIT AI Accelerator is a unique collaboration designed to advance the field of AI to improve DAF operations and address broader societal needs.
Accelerator, AI
core
The rapid integration of Artificial Intelligence (AI), 5G, and upcoming 6G technologies into the energy sector signifies a transformative and long-term transitional shift towards a more sustainable and efficient future enabled by myriads of digital ...
Vermesan, Ovidiu +26 more
core