Results 91 to 100 of about 535,457 (208)

Opportunities for 2D‐Material‐Based Multifunctional Devices and Systems in Bioinspired Neural Networks

Small, EarlyView.
Bio‐inspired computing offers a route to highly energy‐efficient artificial intelligence. The unique physical properties of two‐dimensional (2D) materials can further enhance such computing approaches. This perspective highlights recent developments in 2D materials‐based neuromorphic devices and discusses future opportunities for integrating such novel
Jin Feng Leong, Maheswari Sivan, Jieming Pan, Zihang Fang, Jianan Li, Zefeng Xu, Shi Zhao, Quanzhen Wan, Evgeny Zamburg, Aaron Voon‐Yew Thean   +9 more
wiley   +1 more source

Domenico Camera - Scritti d'arte

, 2016
Presentazione di Domenico Camera, un "poeta prestato all'arte", già oggetto di attenzione critica da parte di illustri studiosi della letteratura italiana contemporanea, tra cui Franco ...
Valenti Paola
core   +1 more source

Low-latency neuromorphic air hockey player

Neuromorphic Computing and Engineering
Brains process sensory information to guide behaviour, enabling organisms to adapt to dynamic and unpredictable conditions. Neuromorphic engineering seeks to emulate these neurobiological principles to develop compact, low-power systems capable of real ...
Juan P Romero B, Dimitrios Korakovounis, Jens E Pedersen, Jorg Conradt   +3 more
doaj   +1 more source

Bio-Inspired Stereo Vision Calibration for Dynamic Vision Sensors

IEEE Access, 2019
Many advances have been made in the field of computer vision. Several recent research trends have focused on mimicking human vision by using a stereo vision system.
Manuel J. Dominguez-Morales, Angel Jimenez-Fernandez, Gabriel Jimenez-Moreno, Cristina Conde, Enrique Cabello, Alejandro Linares-Barranco   +5 more
doaj   +1 more source

A Retinomorphic Graphene Transistor Implementing Direction‐ and Velocity‐Selective Computation for In‐Sensor Image Stabilization

Small, EarlyView.
A multi‐gated ion‐gel graphene transistor architecture emulates spatiotemporal dendritic filtering inspired by biological direction‐selective retinal circuits. Leveraging distributed resistance‐capacitive ionic relaxation delays under combined excitation‐inhibition pulse routines, the solid‐state device exhibits programmable direction‐selective index ...
Jun Ha Park, HoYeon Kim, Jinkyung Kim, Hyun Jae Jang, Jae Wook Kim, Jongkil Park, Seongsik Park, Inho Kim, Suyoun Lee, Gyu Weon Hwang, Byeong‐Kwon Ju, Kyeong‐Seok Lee   +11 more
wiley   +1 more source

Vortex Domain Wall Imaging in a 3D Magnetic Nanotube Grown by Focused Electron Beam Induced Deposition

Small, EarlyView.
Synthesis of nanoscale high‐purity Co magnetic nanotubes using a single growth technique, focused electron beam induced deposition (FEBID). Utilizing electron holography and micromagnetic simulations, we demonstrate the nucleation and pinning of tilted vortex domain walls, providing crucial experimental evidence to advance 3D spintronics and ...
Javier Pablo‐Navarro, Luis Alfredo Rodríguez, Christophe Gatel, Ingrid Marie Andersen, Etienne Snoeck, José María De Teresa, César Magén   +6 more
wiley   +1 more source

Event-guided temporally super-resolved synchrotron X-ray imaging

Communications Physics
Event cameras, as novel bio-inspired neuromorphic sensors, detect per-pixel brightness changes asynchronously. Despite their growing popularity in various applications, their potential in X-ray imaging remains largely unexplored.
Hongjian Wang, Alexander Hadjiivanov, Emmanuel Blazquez, Christian M. Schlepütz, Marco Stampanoni, Goran Lovric   +5 more
doaj   +1 more source

Reliability‐Aware Framework for Fault‐Tolerant Multi‐Sensor Fusion Using Neuromorphic Hardware‐Native Learning

Advanced Computing, Volume 1, Issue 1, December 2026.
Reliability of training inputs is essential for hardware‐native neuromorphic learning, as faulty data in sensor fusion generates false triggers due to wrong conductance updates. This work presents a reliability‐aware framework ensuring only trustworthy sensor inputs participate in training, preventing false associations and improving robust decision ...
Tauseef Ejaz, Kapil Bhardwaj, Sayani Majumdar   +2 more
wiley   +1 more source

N-DriverMotion: Driver Motion Learning and Prediction Using an Event-Based Camera and Directly Trained Spiking Neural Networks on Loihi 2

IEEE Open Journal of Vehicular Technology
Driver motion recognition is a key factor in ensuring the safety of driving systems. This paper presents a novel system for learning and predicting driver motions, along with an event-based (720 × 720) dataset, N-DriverMotion, newly collected to ...
Hyo Jong Chung, Byungkon Kang, Yoon Seok Yang   +2 more
doaj   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, Volume 11, Issue 21, 6 November 2026.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source