I’m part of the “Complex Photonics and Neuro-Inspired Systems” group at IFISC, which includes the research lines
Deep Learning in Science, Pierre Baldi (2021)
Evolution of the Semiconductor Industry, and the Start of X Law, Sloss (2022)
Brain-inspired computing systems: a systematic literature review, Zolfagharinejad et.al. (2024)
Burger/Soup cooking in pot analogy, put in (Input), cooks (Blackbox), people who don’t know what it is can guess the ingredients from the smell.
Coupling essential, because hebbian learning, neurons that fire together, wire together
Problems: Virtualisation of NN on silicon architecture (Ch 7, https://www.igb.uci.edu/~pfbaldi/book-deep-learning-in-science/Ch7-LocalLearnihng.pdf), Energy, Binary etc
Current point of NC: https://open-neuromorphic.org/blog/workflow-vision-neuromorphic/
A breakthrough with a small-scale neuromorphic computing system would pave the way for large-scale neuromorphic computing deployments. https://www.nature.com/articles/s41586-024-08253-8?fromPaywallRec=false
