Results 191 to 200 of about 16,282 (247)

Device Stochasticity Directly Implements Bayesian Sampling in Spiking Neurons

Advanced Science, EarlyView.
Brain‐inspired stochastic spiking turns device noise into Bayesian uncertainty for robust, low‐power neuromorphic computing. ABSTRACT Device stochasticity is considered a non‐ideality in neuromorphic hardware, although stochastic neural activity supports probabilistic computation in biological systems.
Huannan Zheng, Jingli Liu, Kezhou Yang
wiley   +1 more source

Synergistic Integration of Artificial Merkel Disc and Meissner Corpuscle via Dermal Papillary Structures for Mechanically Filtered Multimodal Tactile Sensing. [PDF]

Adv Sci (Weinh)
Kim J, Maeng B, Seo S, Chun KY, Han CS.
europepmc   +1 more source

Adaptive Cellular Responsiveness to Electrical Stimulation at the Skin‐Electrode Interface

Advanced Science, EarlyView.
This study presents an adaptive bioelectronic response in which sustained electrical stimulation (ES) upregulates voltage‐gated calcium channels (VGCCs) and enhances cellular sensitivity to subsequent ES at the skin‐device interface. VGCC‐associated adaptive sensitization promotes regenerative wound‐healing responses in vivo, including accelerated ...
Yeon Jae Chang, Soon Jin Choi, Khandoker Asiqur Rahaman, Tae Kyoung Lee, Gwangbin Lee, Jaeyeon Jun, Hyeon‐Jeong Lee, Hophil Min, Hojeong Jeon, Jung Keun Hyun, Hyung‐Seop Han, Jimin Park   +11 more
wiley   +1 more source

Biomechanical comparison of four different internal fixation constructs applied to stabilise Letenneur type I Hoffa fractures: a finite element analysis. [PDF]

BMC Musculoskelet Disord
Cha YM, Jian XD, Chang B, Sun P.
europepmc   +1 more source

Accelerating High‐Fidelity Airfoil Design via Physics‐Informed Video Diffusion Model

Advanced Science, EarlyView.
Physics‐informed video diffusion enables rapid inverse aerodynamic design by mapping target lift‐to‐drag response to airfoil geometries and full‐field flow distributions. Trained on 53 400 DNS samples, the model achieves over 90% fidelity with ∼30 s inference, while experimentally realized propeller designs demonstrate a practical pathway from ...
Yifeng Ai, Yijia Guo, Hongfu Zhang, Lei Zhou, Tiejun Huang, Weiqiu Chen, Xuhui He, Peng Guo, C. W. Lim, Lei Ma   +9 more
wiley   +1 more source

Exploitation of Complex Abelian Point Groups in Quantum-Chemical Calculations. [PDF]

J Phys Chem A
Kitsaras MP, Stopkowicz S.
europepmc   +1 more source

Non‐Uniform Space‐Time‐Coding Modulation for Low‐Complexity Diagnostics of Reconfigurable Intelligent Surfaces

Advanced Electronic Materials, EarlyView.
A diagnostic method for reconfigurable intelligent surfaces (RIS) based on non‐uniform space‐time‐coding modulation is presented. Fault localization is achieved via amplitude‐only spectral measurements, eliminating the need for complex signal processing. A one‐to‐one mapping between harmonic components and RIS elements enables accurate detection.
Xiao Qing Chen, Lei Zhang, Yi Ning Zheng, Bing Bing Zhu, Marco Rossi, Giuseppe Castaldi, Shuo Liu, Vincenzo Galdi, Tie Jun Cui   +8 more
wiley   +1 more source

Segmentation-Free 3D Deep Learning for CT-Based Chronic Rhinosinusitis Classification. [PDF]

J Imaging
Dalena P, Scagni M, Postuma I, Brero F, Lascialfari A, Haubold J, Deuschl C, Lang S, Mattheis S, Stähr K.   +9 more
europepmc   +1 more source

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

Advanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez, Niladri Bhattacharjee, Yuxuan He, Giulio Galderisi, Brojogopal Sapui, Sara Mannaa, Ian O'Connor, Violetta Sessi, Peter Javorka, Thomas Mikolajick, Jens Trommer   +10 more
wiley   +1 more source