Emerging 2D materials hardware for in-sensor computing
The advent of the novel in-sensor/near-sensor computing paradigm significantly eliminates
the need for frequent data transfer between sensory terminals and processing units by …
the need for frequent data transfer between sensory terminals and processing units by …
[HTML][HTML] Classical and Quantum Physical Reservoir Computing for Onboard Artificial Intelligence Systems: A Perspective
Artificial intelligence (AI) systems of autonomous systems such as drones, robots and self-
driving cars may consume up to 50% of the total power available onboard, thereby limiting …
driving cars may consume up to 50% of the total power available onboard, thereby limiting …
All‐Polymer Organic Electrochemical Synaptic Transistor With Controlled Ionic Dynamics for High‐Performance Wearable and Sustainable Reservoir Computing
Y He, Z Ge, Z Li, Z Li, R Liu, L Zhang… - Advanced Functional …, 2024 - Wiley Online Library
Wearable near/in‐sensor neuromorphic computing is driving next‐generation human‐
artificial intelligence (AI) interface, the Internet of Things, and intelligent robots, with reservoir …
artificial intelligence (AI) interface, the Internet of Things, and intelligent robots, with reservoir …
Seizure detection via reservoir computing in MoS2-based charge trap memory devices
Neurological disorders are a substantial global health burden, affecting millions of people
worldwide. A key challenge in develo** effective treatments and preventive measures is …
worldwide. A key challenge in develo** effective treatments and preventive measures is …
Physics-based approach to develo** physical reservoir computers
Reservoir computing leverages the dynamic properties of a fixed, randomly connected
neural network to facilitate simplified training and enhanced computational efficiency. Many …
neural network to facilitate simplified training and enhanced computational efficiency. Many …
Principled neuromorphic reservoir computing
Reservoir computing advances the intriguing idea that a nonlinear recurrent neural circuit—
the reservoir—can encode spatio-temporal input signals to enable efficient ways to perform …
the reservoir—can encode spatio-temporal input signals to enable efficient ways to perform …
Ultrafast silicon photonic reservoir computing engine delivering over 200 TOPS
D Wang, Y Nie, G Hu, HK Tsang, C Huang - Nature Communications, 2024 - nature.com
Reservoir computing (RC) is a powerful machine learning algorithm for information
processing. Despite numerous optical implementations, its speed and scalability remain …
processing. Despite numerous optical implementations, its speed and scalability remain …
Reservoir-computing based associative memory and itinerancy for complex dynamical attractors
Traditional neural network models of associative memories were used to store and retrieve
static patterns. We develop reservoir-computing based memories for complex dynamical …
static patterns. We develop reservoir-computing based memories for complex dynamical …
Harnessing spatiotemporal transformation in magnetic domains for nonvolatile physical reservoir computing
Combining physics with computational models is increasingly recognized for enhancing the
performance and energy efficiency in neural networks. Physical reservoir computing uses …
performance and energy efficiency in neural networks. Physical reservoir computing uses …
Multi-task photonic reservoir computing: wavelength division multiplexing for parallel computing with a silicon microring resonator
Nowadays, as the ever-increasing demand for more powerful computing resources
continues, alternative advanced computing paradigms are under extensive investigation …
continues, alternative advanced computing paradigms are under extensive investigation …