Tech Xplore

Neuromorphic computer prototype learns patterns with fewer computations than traditional AI

Could computers ever learn more like humans do, without relying on artificial intelligence (AI) systems that must undergo ...

App Orchid Launches New Conversational Analytics Agent With Continuous Semantic Enrichment for Benchmark-Breaking Accuracy

Built on App Orchid's semantic knowledge graph, the Agent continuously learns from context to improve accuracy, transparency, and enterprise trust.
IEEE

Behavior-Based Control with Learning from Demonstration for Path Following Applied to Mobile Robots Soccer

Abstract: Learning from Demonstration (LfD) enables robots to learn new tasks through an imitation process. This methodology can be combined with Behavior-Based Control (BBC), which facilitates the ...
IEEE

Learning Multi-Reference Frame Skills from Demonstration with Task-Parameterized Gaussian Processes

Abstract: A central challenge in Learning from Demonstration is to generate representations that are adaptable and can generalize to unseen situations. This work proposes to learn such a ...