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Explainability from Vote Traces in RF Ensembles

We convert per-model votes into auditable tracesand Shapley-like attributions for RF ensemble decisions. Weexpose hooks in classify_signal() to log per-model logits, calibrated probabilities, weights, and OSR gates, enablingtimeline and contribution analyses with negligible overhead.Our approach… 

Blue Prism SmartFlow, AI-based Robotic Process Automation (RPA)

PODCAST: explore the advancement of automation systems beyond traditional Robotic Process Automation (RPA), leveraging Large Language Models (LLMs) and deep learning for greater adaptability and cognitive capabilities. The first paper introduces UINav, a system for mobile UI automation agents designed to execute… 

Next-gen Evolution of RadioML with TorchSig

On RadioML 2016 (5 classes, 20k examples), hierarchical strictly dominates flat (0 unique flat wins). On TorchSig Sig53 (53 classes, 5M examples), hierarchical gains 15% on PSK/QAM families but flat wins 12% on impaired FSK/OFDM,…