Results 91 to 100 of about 2,079,335 (239)

Benchmarking QCi's EmuCore Device for Time Series Forecasting

Proceedings of the International Florida Artificial Intelligence Research Society Conference
Reservoir computing (RC) has emerged as an efficient and scalable approach for processing time-dependent data, particularly in physical reservoir computing implementations. QCi's EmuCore platform, a novel photonic-inspired time-delayed reservoir system,
Babak Emami, Prajnesh Kumar, Wesley Dyk
doaj   +1 more source

Self‐Sustaining Sensing Systems: Integration Strategies and Signal–Power Matching in Energy‐Harvesting Electronics

Advanced Science, EarlyView.
Energy‐harvesting‐integrated sensors couple ambient energy conversion with sensing, processing, and wireless communication. This review organizes recent progress through integration architectures and operating principles, revisiting co‐packaged, monolithic, and co‐functional designs together with always‐on, event‐driven, and multi‐modal sensing modes ...
Taehyun Park, Ki‐Yoon Park, Yeonho Choi, Dong‐Myeong Shin, Hong‐Joon Yoon, Hocheon Yoo   +5 more
wiley   +1 more source

Customized Itinerant Frequency Combs by Cascaded Nonlinear Effects

Advanced Science, EarlyView.
A cascaded third‐order nonlinear system generates an itinerant frequency comb with the comb center frequency decoupled from the cavity resonance. This enables arbitrary spectral scaling, flexible spacing adjustments, and real‐time central‐frequency engineering, allowing comb splicing and subdivision. The resulting versatility and reconfigurability open
Yi Wang, Yulong Liu, Zeji Li, Wenyan Wang, Sihan Wang, Cheng Wang, Jingwei Zhou, Jie‐Qiao Liao, Tiefu Li   +8 more
wiley   +1 more source

Toward brain-inspired intelligence: a review of photonic neuromorphic computing systems

PhotoniX
Inspired by the key elements and principles in the brain, photonic neuromorphic computing shows great potential for building next-generation intelligent processing systems with high parallelism, low latency, low power consumption, and self-learning ...
Dun Lan, Bowen Ma, Yuxiang Ji, Yichen Zeng, Zhihong Zou, Zongsheng Li, Yiyang Xu, Mengmeng Chai, Weiwen Zou   +8 more
doaj   +1 more source

Modifying Electrochemical Doping in Light‐Emitting Electrochemical Cells With Gold Nanoparticles

Advanced Science, EarlyView.
This study shows that gold nanoparticles placed at an electrode can control how electrochemical doping occurs in organic electronic devices. Particularly, in light‐emitting electrochemical cells, by shifting the light‐emitting region, device efficiency is improved without altering the emissive material. This approach provides a simple and effective way
Ajay K. Poonia, Anton Kirch, Joan Ràfols‐Ribé, Lucrezia Catanzaro, Anish Rao, Karol Kołątaj, Vittorio Scardaci, Giuseppe Compagnini, Guillermo P. Acuna, Ludvig Edman, Nicolò Maccaferri   +10 more
wiley   +1 more source

Enhanced High Dimensionality and the Information Processing Capacity in Interfered Spin Wave‐Based Reservoir Computing, Achieved With Eight Detectors

Advanced Electronic Materials, EarlyView.
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, Wataru Namiki, Daiki Nishioka, Maki Nishimura, Ryo Iguchi, Kazuya Terabe, Takashi Tsuchiya   +6 more
wiley   +1 more source

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

Advanced Electronic Materials, EarlyView.
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels, Duna Wattad, Ronny Ronen, David Saad, Shahar Kvatinsky   +4 more
wiley   +1 more source

Low insertion loss modulator based on a vertically coupled photonic crystal resonator [PDF]

, 2012
We experimentally demonstrate a simple but more efficient technique to modulate and multiplex multiple WDM channels. Our design is based on a bus waveguide vertically coupled to multiple Photonic Crystal (PhC) resonator, each of which modulates an ...
Reed, G T, Graham Reed, Krauss, Thomas Fraser, Thomas F. Krauss, Liam O'Faolain, O'Faolain, Liam, Kapil Debnath, Frederic Y. Gardes, Debnath, Kapil, Thomson, D, Gardes, F Y, David Thomson   +11 more
core   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

Experimental demonstration of nonlinear fibre distortion compensation with integrated photonic reservoir computing

, 2021
Optical reservoir computing is a machine learning technique in which a photonic chip can be trained on classification tasks of time signals. This paper presents experimental results where linear and nonlinear fibre distortions are mitigated to below the ...
Sackesyn, Stijn, Bienstman, Peter, Joni Dambre, Peter Bienstman, Chonghuai Ma, Ma, Chonghuai, Stijn Sackesyn, Dambre, Joni   +7 more
core   +1 more source