Results 131 to 140 of about 5,326,339 (296)
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Fully convolutional network for automated detection and diagnosis of mammographic masses. [PDF]
Kulkarni S, Rabidas R.
europepmc +1 more source
Efficient Fully-Convolutional Networks for Image Perception [PDF]
Neural architecture search is widely applied to design networks to outperform manually designed architectures. However, it is not trivial to be directly applied to challenging perception tasks such as object detection since previous methods often rely on
Chen, Hao
core
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
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
A giant insulator to metal transition and emergent superparamagnetism are revealed by nanoparticle exsolution in non‐stoichiometric titanate perovskite thin films. By combining transport, synchrotron spectroscopy, and first‐principles calculations, this work reveals how defect reconfiguration and lattice reconstruction fundamentally reshape electronic ...
Sungil Kim +11 more
wiley +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
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
Virtual Axle Detector Based on Analysis of Bridge Acceleration Measurements by Fully Convolutional Network. [PDF]
Lorenzen SR +6 more
europepmc +1 more source
Memristors offer tunable resistance and intrinsic instability, making them promising tunable noise sources. We propose a spiking‐rate‐programmable probabilistic neuron using a Ru/TaOx/Pt memristor, where resistance‐dependent noise enables frequency‐selective encoding.
Do Hoon Kim +8 more
wiley +1 more source
Image Classification of Alzheimer's Disease Based on External-Attention Mechanism and Fully Convolutional Network. [PDF]
Jiang M +5 more
europepmc +1 more source
Lesion Border Detection of Skin Cancer Images Using Deep Fully Convolutional Neural Network with Customized ...
HG Hosseini (17966333) +2 more
core

