New photonic computing method uses electromagnetic waves to solve partial differential equations rapidly. See our recent paper on this topic: https://spie.org/news/photonic-computing-harnesses-electromagnetic-waves which follows the approach initiated in the paper I reported in 2023 in https://blogs.ncl.ac.uk/alexyakovlev/2023/10/15/paper-on-time-derivatives-computation-in-waveguides/
I presented a keynote lecture on Tsetlin Machines: Towards Energy-Efficient and Explainable AI via Logic and Expediency in Learning at the International Workshop on Logic Synthesis (IWLS’25) .
The slides of my lecture can be found here.
I am happy to announce that I have been awarded a new EPSRC grant – technically it is UKRI & RCN (Research Council of Norway) project – KNOT: Resource-aware Knowledge Transfer Methods for Machine Learning Hardware in At-the-Edge Applications
I am very excited to work on it with my colleague Anatoliy Gorbenko from Leeds Beckett University, my Newcastle colleague Rishad Shafik, Uni of Agder colleague Ole-Christoffer Granmo, and in close collaboration with Mignon. More details on this project can be found https://gtr.ukri.org/projects?ref=EP%2FZ533841%2F1#/tabOverview