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
I am happy to announce that I have been awarded a new EPSRC grant – technically it is UKRI & RCN (Research Council of Norway) project – UKRI-RCN: Exploiting the dynamics of self-timed machine learning hardware (ESTEEM).
I am very excited to work on it with my two Newcastle colleagues Rishad Shafik and Domenico Balsamo, Uni of Agder colleague Ole-Christoffer Granmo, and in close collaboration with PragmatIC, Mignon and CFT.
More details on this project can be found here.
I had a pleasure to present a keynote talk at the 13th International Conference Dependable Systems, Services and Technologies (DESSERT 2023), held in Greece, Athens, October 13-15, 2023, in a hybrid mode.
The talk’s topic was “Tsetlin Machines: stepping towards energy-efficient, explainable and dependable AI” https://www.dessert-conf.org/dessert-2023/alex-yakovlev/
The PDF of the slides can be found here