Results 211 to 220 of about 10,988 (267)
Physical reservoir computing (PRC) based on spin wave interference has demonstrated high computational performance, yet room for improvement remains. In this study, we fabricated this concept PRC with eight detectors and evaluated the impact of the number of detectors using a chaotic time series prediction task.
Sota Hikasa +6 more
wiley +1 more source
Ultrafast visual perception beyond human capabilities enabled by motion analysis using synaptic transistors. [PDF]
Wang S +16 more
europepmc +1 more source
A non‐destructive, quantitative approach has been developed to explore the nanoscale dynamics of TaOx‐based memristive devices. The utilization of nano‐X‐ray fluorescence analysis enables the direct probing of spatially resolved elemental distributions, including those present in buried layers, that are critical for the resistive switching.
André Wählisch +9 more
wiley +1 more source
Towards Artificial Intelligence Hardware With 3D Integrated Ferroelectric Transistors. [PDF]
Seok H, Kim G, Son S, Choi H, Kim T.
europepmc +1 more source
Through the introduction of a niobium oxide layer into a hafnia ferroelectric capacitor stack, we build a memory device with a strong imprint effect. This imprint leads to a millisecond retention loss that can be tuned by the programming conditions that can be utilized as a scalable, analog hardware time constant for bio‐inspired temporal computing ...
Luca Fehlings +3 more
wiley +1 more source
Bridging neuromorphic computing and deep learning for next-generation neural data interpretation. [PDF]
Zhang M, Wang T, Zhu Z.
europepmc +1 more source
ABSTRACT With the continuous development of computer image processing, developing efficient and low‐power computing devices has become a key challenge. Memristors have integrated in‐situ storage and computing capabilities, making them an ideal choice for low‐power image processing computing architectures. However, current memristors are confronted with
Tengyu Li +4 more
wiley +1 more source
HfO<sub>2</sub>-based memristive synapses with asymmetrically extended p-n heterointerfaces for highly energy-efficient neuromorphic hardware. [PDF]
Bakhit B +11 more
europepmc +1 more source
A Review of Embedded Artificial Intelligence Research (2023-2026): Technological Advancements, Representative Advances, and Future Prospects. [PDF]
Zhang Z.
europepmc +1 more source
Reconfigurable In-Sensor Computing Memristor for Olfactory SNN and Reservoir Hybrid Neuromorphic Computing. [PDF]
Lu L +6 more
europepmc +1 more source

