Mobile robot navigation has been a very popular topic of practice among researchers since
a while. With the goal of enhancing the autonomy in mobile robot navigation, numerous …

The remarkable advancements in artificial intel-ligence (AI), primarily driven by deep neural
networks, are facing challenges surrounding unsustainable computational tra-jectories …

Neuro-symbolic Artificial Intelligence (AI) models, blending neural networks with symbolic AI,
have facilitated transparent reasoning and context understanding without the need for …

Disentangling attributes of various sensory signals is central to human-like perception and
reasoning and a critical task for higher-order cognitive and neuro-symbolic AI systems. An …

Abstract Neuro-Symbolic AI (NeSy) represents a significant advancement in artificial
intelligence by integrating the pattern recognition capabilities of neural networks with the …

Data and hardware security are crucial in modern electronics, leading to increased adoption
of Physically Unclonable Functions (PUFs) to generate unique circuit signatures …