Results 221 to 230 of about 5,451,620 (296)

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

open access: yesAdvanced Energy Materials, Volume 16, Issue 39, 21 October 2026.
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   +4 more
wiley   +1 more source

Physics‐encoded transfer learning for scale‐up modeling of CHO cell bioreactors

open access: yesAIChE Journal, Volume 72, Issue 10, October 2026.
Abstract Developing reliable predictive models for mammalian cell bioreactors, particularly Chinese hamster ovary (CHO) cultures widely used in biopharmaceutical manufacturing, remains challenging due to severe data scarcity in industrial‐scale reactors.
Muyang Li, Ming Xiao, Zhe Wu
wiley   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

open access: yesAdvanced Intelligent Discovery, Volume 2, Issue 5, October 2026.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang   +3 more
wiley   +1 more source

Multimodal Video Summarization Using Vision‐Language Embeddings and Hierarchical Temporal Modeling

open access: yesApplied AI Letters, Volume 7, Issue 3, October 2026.
Combining BLIP‐2 image captions with CLIP vision–language embeddings gives video frames semantic meaning that pixels alone cannot convey. Processed by a multi‐scale temporal U‐Net and hierarchical shot‐aware transformer, these multimodal features achieve a state‐of‐the‐art 59.27% F1‐score on SumMe using only 28.27M parameters.
Saadman Sakib, Kaushik Deb
wiley   +1 more source

Hybrid Graph Neural Network–Reinforcement Learning Framework for Intelligent Programmable Network Automation

open access: yesApplied AI Letters, Volume 7, Issue 3, October 2026.
This paper proposes a hybrid GNN‐RL system coupled with a cloud‐based automated experimentation system to optimise topology‐aware, multi‐objective, and scalable programs in the network. ABSTRACT Software‐Defined Networking (SDN) and Network Function Virtualisation (NFV) offer the benefit of dynamic control and flexible resources that can be managed ...
Muhammad Hasnain   +2 more
wiley   +1 more source

A Multimodal Deep Learning Based Framework for Early and Accurate Diagnosis of Depression Using Electroencephalography and Event‐Related Potential Signals

open access: yesApplied AI Letters, Volume 7, Issue 3, October 2026.
Cross Wavelet Transform (XWT) is combined with a pre‐trained AlexNet to extract rich time‐frequency features from non‐stationary EEG signals. Also, the proposed framework simultaneously extracts and integrates spatial (Node2vec), time‐frequency (XWT + AlexNet), and spectral (PSD + TSCN) features from EEG and ERP signals within a parallel architecture ...
Atefeh Abedzadeh Attar   +2 more
wiley   +1 more source

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