Results 151 to 160 of about 2,004,297 (387)
Optical frontend for a convolutional neural network
Applied Optics, 2019 The parallelism of optics and the miniaturization of optical components using nanophotonic structures, such as metasurfaces present a compelling alternative to electronic implementations of convolutional neural networks. The lack of a low-power optical nonlinearity, however, requires slow and energy-inefficient conversions between the electronic and ...
Shane Colburn +3 more
openaire +3 more sources
Engineering CAR‐T Therapeutics for Enhanced Solid Tumor Targeting
Advanced Materials, EarlyView.CART cell therapy has proven effective for blood cancers but struggles with solid tumors due to diverse antigens and complex environments. Recent efforts focus on improving CAR design and validation platforms. Advances in protein engineering, machine learning, and organoid systems aim to enhance CAR‐T therapy against solid tumors.
Danqing Zhu +4 more
wiley +1 more source
Systems Science & Control EngineeringThe financial performance of a listed company is a common concern for shareholders, creditors, employees, securities analysts, and the government. Measuring and forecasting financial performance informs stakeholders about a company's overall well-being ...
Jiadong Teng
doaj +1 more source
Advanced Materials, EarlyView.This article investigates the micromechanics of bamboo epidermis, focusing on how anisotropic silica particle distributions enhance toughness. By integrating experimental imaging, 3D printing, and generative AI, the study develops bio‐inspired particle‐reinforced composites with mechanical properties akin to bamboo.
Zhao Qin, Aymeric Pierre Destree
wiley +1 more source
Fast‐Charging Solid‐State Li Batteries: Materials, Strategies, and Prospects
Advanced Materials, EarlyView.This review addresses challenges and recent advances in fast‐charging solid‐state batteries, focusing on solid electrolyte and electrode materials, as well as interfacial chemistries. The role of multiscale modeling and simulation in understanding Li+ transport and interfacial phenomena is emphasized, providing insights into materials, strategies, and ...
Jing Yu +7 more
wiley +1 more source
Responsive Molecules for Organic Neuromorphic Devices: Harnessing Memory Diversification
Advanced Materials, EarlyView.Responsive molecules are essential for organic in‐sensor computing devices. This Review highlights recent advances in thedesign, synthesis, and incorporation of electrically, optically, and magnetically responsive molecules in multifunctional synaptic perception devices endowedwith both nonvolatile and volatile memory diversification. By exploiting the
Yusheng Chen +4 more
wiley +1 more source
Object Detection and Feature Base Learning with Sparse Convolutional Neural Networks [PDF]
, 2006 Alexander Gepperth
openalex +1 more source
Photonic Nanomaterials for Wearable Health Solutions
Advanced Materials, EarlyView.This review discusses the fundamentals and applications of photonic nanomaterials in wearable health technologies. It covers light‐matter interactions, synthesis, and functionalization strategies, device assembly, and sensing capabilities. Applications include skin patches and contact lenses for diagnostics and therapy. Future perspectives emphasize AI‐
Taewoong Park +3 more
wiley +1 more source
Application of deep learning for division of petroleum reservoirs
MATEC Web of Conferences, 2018 Traditional methods of dividing petroleum reservoirs are inefficient, and the accuracy of onehidden-layer BP neural network is not ideal when applied to dividing reservoirs.
Qin Yaqiong, Ye Zhaohui, Zhang Conghui
doaj +1 more source
Convolutional Neural Networks with Recurrent Neural Filters [PDF]
arXiv, 2018 We introduce a class of convolutional neural networks (CNNs) that utilize recurrent neural networks (RNNs) as convolution filters. A convolution filter is typically implemented as a linear affine transformation followed by a non-linear function, which fails to account for language compositionality.
arxiv