Explores demystifying quantum mechanics through logical inference and robust experimental descriptions, emphasizing the separation of conditions and fundamental quantum equations.
Covers inductive propositions in Coq, focusing on evaluation rules for arithmetic expressions and their applications in defining partial and non-deterministic functions.
Explores neuro-symbolic representations for understanding commonsense knowledge and reasoning, emphasizing the challenges and limitations of deep learning in natural language processing.