Inductive logic programming (ILP) and machine learning together represent a powerful synthesis of symbolic reasoning and statistical inference. ILP focuses on deriving interpretable logic rules from ...

OpenAI and Google DeepMind demonstrated that their foundation models could outperform human coders — and win — showing that large language models (LLMs) can solve complex, previously unsolved ...

A new technical paper titled “Flip-Lock: A Flip-Flop-Based Logic Locking Technique for Thwarting ML-based and Algorithmic Structural Attacks” was published by researchers at TU Dresden and Ruhr ...

In the dynamic world of clinical trials, innovative methods are vital to improving the efficiency and reliability of medical research. One area that has garnered both interest and scepticism is ...