Results 101 to 110 of about 83,465 (280)

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Explainable Vision Transformers for Vein Biometric Recognition

IEEE Access
In the field of deep learning, understanding the rationale behind an automatic system’s decisions is essential for building users’ trust and ensuring accountability. In this regard, explainable artificial intelligence (XAI) recently emerged
Rocco Albano, Lorenzo Giusti, Emanuele Maiorana, Patrizio Campisi   +3 more
doaj   +1 more source

Transistor‐Level Activation Functions via Two‐Gate Designs: From Analog Sigmoid and Gaussian Control to Real‐Time Hardware Demonstrations

Advanced Materials, EarlyView.
Screen gate‐based transistors are presented, enabling tunable analog sigmoid and Gaussian activations. The SA‐transistor improves MRI classification accuracy, while the GA‐transistor supports precise Gaussian kernel tuning for forecasting. Both functions are implemented in a single device, offering compact, energy‐efficient analog AI processing ...
Junhyung Cho, Youngmin Han, Won Woo Lee, Youngwoo Yoo, Kannan Udaya Mohanan, Chang‐Hyun Kim, Junhwan Choi, Young‐Joon Kim, Wonjun Shin, Hocheon Yoo   +9 more
wiley   +1 more source

Denoising Vision Transformers

Accepted to ECCV2024. Project website: https://jiawei-yang.github.io/DenoisingViT/
Yang, Jiawei, Luo, Katie Z, Li, Jiefeng, Deng, Congyue, Guibas, Leonidas, Krishnan, Dilip, Weinberger, Kilian Q, Tian, Yonglong, Wang, Yue   +8 more
openaire   +2 more sources

Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics

Advanced Materials, EarlyView.
The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades, Pedro Hidalgo, David Maestre, Ruth Martínez‐Casado, Emilio Nogales, Beatriz Rodríguez, G. Cristian Vásquez, Bianchi Méndez   +7 more
wiley   +1 more source

Light‐Induced Entropy for Secure Vision

Advanced Materials, EarlyView.
This work realized a ternary true random number generator by exploiting stochastic traps emerging within multiple junction interfaces, and quantitatively validated the generation of high‐quality random numbers. Furthermore, it successfully demonstrated diverse applications, including AI‐resilient image security, thereby providing a valuable guide for ...
Juhyung Seo, Seungme Kang, Chaehyun Kim, Taehyun Park, Youngwoo Yoo, Yeong Kwon Kim, Wonjun Shin, Byung Chul Jang, Young‐Joon Kim, Hocheon Yoo   +9 more
wiley   +1 more source

Photo‐Rewritable Ambipolar Organic Electrochemical Synapses with Bidirectional Optical Plasticity for Adaptive Vision in Aqueous Environments

Advanced Materials, EarlyView.
Photo‐rewritable ambipolar organic synapses operating in aqueous environments at low voltage (≤0.4 V) demonstrate bidirectional optical plasticity through photon‐modulated electrochemical doping. The bulk heterojunction device enables both excitatory and inhibitory responses with extended retention time (>130 min).
Xiaoqian Su, Xihu Wu, He Wang, Wenzhe Lu, Bing Xue, Jinli Tang, Zhangshanhao Li, Kejing Ren, Qiang He, Junyu Li, Lan Yin, Yuxin Liu, Shiming Zhang, Ting Lei, Changsheng Wu   +14 more
wiley   +1 more source

SEE: Towards Semi-Supervised End-to-End Scene Text Recognition

, 2017
Detecting and recognizing text in natural scene images is a challenging, yet not completely solved task. In recent years several new systems that try to solve at least one of the two sub-tasks (text detection and text recognition) have been proposed.
Bartz, Christian, Meinel, Christoph, Yang, Haojin   +2 more
core   +1 more source

High‐Gain Ag2Te/MoS2 Hybrid Photodetectors for Short‐Wave Infrared Imaging

Advanced Materials, EarlyView.
A precision‐engineered short‐wave infrared image sensor based on a 0D/2D Ag2Te/MoS2 hybrid structure is demonstrated in this work. The device exploits photodoping at the nanoscale interface to achieve broadband detection from visible to infrared wavelengths with high responsivity and fast response.
Seock‐Jin Jeong, Hyun Woo Ko, Suyeon Jo, Joicy Selvaraj, Jung‐Min Kim, Namji Lee, Jae‐Hyeon Ahn, Hyeonchae Lee, Seungmin Jeong, Heedae Kim, Paul Hongsuck Seo, Jae Won Shim, Yonghun Kim, Hyun‐Soo Ra, Min‐Chul Park, Jong‐Soo Lee   +15 more
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
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, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source