2 citations · 2 across the 6 of their papers we have counts for
6 papers
Resonant-Tunnelling Diode Reservoir Computing System for Image Recognition
A. H. Abbas, Hend Abdel-Ghani, Ivan S. Maksymov
As artificial intelligence continues to push into real-time, edge-based and resource-constrained environments, there is an urgent need for novel, hardware-efficient computational m…
Reservoir Computing with a Single Oscillating Gas Bubble: Emphasizing the Chaotic Regime
Hend Abdel-Ghani, A. H. Abbas, Ivan S. Maksymov
The rising computational and energy demands of artificial intelligence systems urge the exploration of alternative software and hardware solutions that exploit physical effects for…
Full-Precision and Ternarised Neural Networks with Tunnel-Diode Activation Functions: Computing and Physics Perspectives
Jake McNaughton, A. H. Abbas, Ivan S. Maksymov
The mathematical complexity and high dimensionality of neural networks slow both training and deployment, demanding heavy computational resources. This has driven the search for al…
Measurement of the -wave scattering length between metastable helium isotopes
S. Kannan, Y. S. Athreya, A. H. Abbas +3
We report the first experimental determination of the interspecies -wave scattering length\,() between the state of He and the $2\,^3…
Classical and Quantum Physical Reservoir Computing for Onboard Artificial Intelligence Systems: A Perspective
A. H. Abbas, Hend Abdel-Ghani, Ivan S. Maksymov
Artificial intelligence (AI) systems of autonomous systems such as drones, robots and self-driving cars may consume up to 50% of total power available onboard, thereby limiting the…
Reservoir Computing Using Measurement-Controlled Quantum Dynamics
A. H. Abbas, Ivan S. Maksymov
Physical reservoir computing (RC) is a machine learning algorithm that employs the dynamics of a physical system to forecast highly nonlinear and chaotic phenomena. In this paper,…