Results 121 to 130 of about 1,573 (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

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

Amorphous Dielectric‐Integrated Retina‐Inspired HfS2 Devices with Enhanced Synaptic Plasticity for Neuromorphic Vision Assistance

Small, EarlyView.
An amorphous synaptic weight‐control dielectric is integrated on the HfS2 channel with oxygen plasma to enhance dynamic range and memory retention. The engineered HfOx layer enhances synaptic plasticity, with a transition from short‐term to long‐term memory.
Riya Chatterjee, Kamila Karybayeva, Yerkezhan Amangeldinova, Wonbeom Kim, Somnath S. Kundale, Hyun‐Woo Son, Debarun Saha, Chang Woo Byun, Tae Geun Kim, Hee‐Soo Kim, Jun Hong Park   +10 more
wiley   +1 more source

Feature Extraction and Pattern Recognition with Neuromorphic Vision Sensors

Extraction de caractéristiques et reconnaissance de formes avec des caméras neuromorphiques Les caméras événementielles ou neuromorphiques sont des capteurs s'inspirant de l’œil humain dans leur fonctionnement. Chaque pixel est indépendant, asynchrone et réagit aux changements de luminosité se produisant dans son propre champ de vision ;
openaire   +2 more sources

On‐Chip Learning With Crossbar Arrays for Adaptive Edge Intelligence

Advanced Computing, Volume 1, Issue 1, December 2026.
Memristor crossbar arrays implemented on chip combines memory, computation, and learning. They allow for adapting the neural weights using the incoming sensor data. This architecture reduces data movement leading to low‐latency, energy‐efficient intelligence in edge while being reliability‐aware co‐design across devices, circuits, and algorithms that ...
Alex James
wiley   +1 more source

A Neuro-Inspired Rate-Encoded Descriptor for High-Speed Asynchronous Robotic Vision. [PDF]

Sensors (Basel)
Harrigan S, Coleman S, Kerr D, Yogarajah P, Wu C, Fang Z.   +5 more
europepmc   +1 more source

Ultralow‐Thermal‐Threshold CsPbBr3 Quantum Dot Memristor for Thermal‐Aware In‐Memory Computing With Physical Pruning

Advanced Computing, Volume 1, Issue 1, December 2026.
A CsPbBr3 perovskite quantum dot thermal‐threshold memristor (TTM) with an ultralow 50°C writing threshold, 105–106 on/off ratio, and a 0.28 V reversible erase is reported. A saliency‐driven smart mapping algorithm allocates high‐importance weights to cold regions and low‐importance weights to hotspots.
Shuaidi Wu, Yuezhong Lu, Wenkang Zhong, Qingwei Shi, Song He, Qinghua Sun, Xiaofeng Wang, Baochang Cheng, Jie Zhao   +8 more
wiley   +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

Memristor‐Based Neuromorphic Computing for Intelligent Sensing and Edge Applications

Advanced Computing, Volume 1, Issue 1, December 2026.
Memristor‐based neuromorphic computing provides a promising foundation for energy‐efficient edge intelligence by integrating in‐memory computing, brain‐inspired neural networks, and in‐sensor processing. Memristive devices can emulate neurons and synapses, enabling compact crossbar architectures with reduced data movement, low power consumption, and ...
Hanrui Li, Nazek El‐Atab
wiley   +1 more source

Emerging Multimodal Artificial Sensory Fusion Paradigms Toward Advanced Embodied Intelligence. [PDF]

Adv Mater
Guo Y, Huang Y, Zhao X, Chen H, Li H, Li Y, Zhai T.   +6 more
europepmc   +1 more source