2 papers
cs.CV2026
Neuromorphic visual attention for Sign-language recognition on SpiNNaker
Sarka Liskova, Olha Vedmedenko, Mazdak Fatahi +3
Sign-language recognition has achieved substantial gains in classification accuracy in recent years; however, the latency and power requirements of most existing methods limit thei…
cs.AI2025
Developing a Foundation of Vector Symbolic Architectures Using Category Theory
Nolan P Shaw, P Michael Furlong, Britt Anderson +1
Connectionist approaches to machine learning, \emph{i.e.} neural networks, are enjoying a considerable vogue right now. However, these methods require large volumes of data and pro…