Results 141 to 150 of about 1,727,853 (256)

An On‐Demand Neuromorphic Vision System Enabled by a Multi‐Paradigm Neuromorphic Device and Hierarchical Reconfigurability Designed from Device to System Level

open access: yesAdvanced Science, EarlyView.
An on‐demand ultra‐reconfigurable intelligent vision system with hierarchical reconfigurability from device to system levels is demonstrated. Through co‐design of a multi‐paradigm device, reconfigurable circuits, and adaptive system architecture/algorithms, the system enables seamless switching among spiking, non‐spiking, neuromorphic imaging (NI), and
Biyi Jiang   +7 more
wiley   +1 more source

Spatiotemporal prediction of carbon emissions using a hybrid deep learning model considering temporal and spatial correlations

open access: yes
Accurate prediction of carbon emissions plays a crucial role in enabling government decision-makers to formulate appropriate policies and plan necessary response measures in a timely manner.
Wu, Chao   +5 more
core   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

open access: yesAdvanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo   +6 more
wiley   +1 more source

MSLKSTNet: Multi-Scale Large Kernel Spatiotemporal Prediction Neural Network for Air Temperature Prediction

open access: yes
The spatiotemporal forecasting of temperature is a critical issue in meteorological prediction, with significant implications for fields such as agriculture and energy.
Jiaen Fei   +3 more
core   +1 more source

Pre‐Regenerative Endothelial Cells Empowered by Antler Blood Exosomes Orchestrate Peripheral Nerve Repair

open access: yesAdvanced Science, EarlyView.
The pre‐regenerative vascular niche (PVN) is essential for nerve repair, yet its endothelial blueprint remains unclear. We identified angiogenic ECs (AECs) as the dominant pre‐regenerative subset and found that antler blood–derived exosomes (AB‐EXO) promote repair via IMP3.
Jinsheng Huang   +11 more
wiley   +1 more source

Spatiotemporal Demand Prediction for Bike Sharing Based on WT-ConvLSTM

open access: yes
To accurately predict the spatiotemporal demand for bike sharing, a hybrid model integrating wavelet transform (WT), long short-term memory (LSTM), and convolutional neural network (CNN) was developed, referred to as the WT-convolutional LSTM (ConvLSTM ...
Jie Huang   +4 more
core   +1 more source

Transforming Brain Organoids Into Functional Platforms: Convergence of Engineering, Imaging, AI, and Ethics

open access: yesAdvanced Science, EarlyView.
Brain organoids are emerging as increasingly functional human‐relevant platforms, yet limitations in vascularization, maturation, measurement, and reproducibility still constrain their translational value. This Perspective examines how microfluidics, biofabrication, advanced imaging, electrophysiology, multimodal AI, standardization, and ethical ...
Aishwarya Pantula   +4 more
wiley   +1 more source

Selenium Nanoparticles Selectively Target KRAS G13D to Inhibit Colorectal Cancer

open access: yesAdvanced Science, EarlyView.
The mechanisms of SeNPs therapy in cancer treatment, encompass three parallel actions: (1) seleno‐amino acids, key metabolites, upregulate GPX2 expression, thereby inhibiting tumor metastasis via the GPX2‐HIF1α‐VEGF signaling pathway; (2) selenite (SeO32−), an inorganic metabolite, forms hydrogen bonds with amino acid residues 13–17 of the KRAS G13D ...
Xiaoting Liu   +13 more
wiley   +1 more source

3D Human Motion Prediction via the Decoupled Spatiotemporal Clue

open access: yes
Human motion exhibits high-dimensional and stochastic characteristics, posing significant challenges for modeling and prediction. Existing approaches typically employ coupled spatiotemporal frameworks to generate future poses.
Erping Li, Zheming Gu, Mingrui Xu
core   +1 more source

Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers

open access: yesAdvanced Science, EarlyView.
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao   +9 more
wiley   +1 more source

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