Abstract: This paper investigates the problem of recursive resilient filtering for discrete-time nonlinear dynamical networks with randomly switching topologies under randomly occurring faults and ...

Abstract: This article considers the point-to-point tracking control problem for a class of unknown nonlinear discrete-time systems with output saturation. A novel data-driven finite-iteration ...

While there have been many sober warnings about AI and recursive self-improvement, Arianna Huffington argues that it is a ...

The companies at the frontier of artificial intelligence should be ready to slow down, one of the fastest-moving among them says. Anthropic, the maker of the Claude chatbot, has claimed AI systems may ...

Building a model capable of RSI would require automating a range of specialist tasks currently carried out by humans. At present data scientists work on the theory of AI and coders put it into ...

Without change, time has no meaning, and without time, there is no generation. Therefore, in this book, we adopt the following proposition as the first principle of the universe generation algorithm.

Theoretical Foundations and Effective Algorithms for Policy-Aware Simulator Learning Christoph Dann, Yishay Mansour, Mehryar Mohri Echoes within the Reasoning: Stealthy and Effective Watermarking via ...

We benchmark on the community-standard Dalke NN dataset (1,000 high-similarity ChEMBL pairs) — the same dataset widely used by RDKit, CDK, and the academic MCS literature. Identical SMILES input, same ...