Emergent self-adaptation in an integrated photonic neural network for backpropagation-free learning
A Lugnan, S Aggarwal… - arXiv preprint arXiv …, 2023 - arxiv.org
Plastic self-adaptation, nonlinear recurrent dynamics and multi-scale memory are desired
features in hardware implementations of neural networks, because they enable them to …
features in hardware implementations of neural networks, because they enable them to …
[HTML][HTML] Brainwave implanted reservoir computing
LY Chen, YC Chen, JC Huang, S Sok, V Armbruster… - AIP Advances, 2024 - pubs.aip.org
This work aims to build a reservoir computing system to recognize signals with the help of
brainwaves as the input signals. The brainwave signals were acquired as the participants …
brainwaves as the input signals. The brainwave signals were acquired as the participants …
[HTML][HTML] Organoid Intelligence: Bridging Artificial Intelligence for Biological Computing and Neurological Insights
Brain organoid implications have opened vast avenues in the realm of interdisciplinary
research, particularly in the growing field of organoid intelligence (OI). A brain organoid is a …
research, particularly in the growing field of organoid intelligence (OI). A brain organoid is a …
Enhancing Interpretability of Neural Networks in Food Recommendation Systems
JEL Rebelo - 2024 - repositorio.ipv.pt
Over the years the risk of developing diseases related to poor alimentation has been
increasing. Many of these diseases are caused by obesity. Obesity is a silent disease …
increasing. Many of these diseases are caused by obesity. Obesity is a silent disease …