New research on so-called “negation neglect” finds that LLMs in a roughly analogous situation don’t behave that way. They appear to learn from the statistical patterns in their training text more than ...
AI governance is proving its value to organizations. The promulgation of artificial intelligence governance legislation, regulations and standards combined with increasingly complex and demanding ...
Abstract: Kernel-based subspace clustering, which addresses the nonlinear structures in data, is an evolving area of research. Despite noteworthy progressions, prevailing methodologies predominantly ...
Images of damage to Camp Buehring in Kuwait, released and annotated by Iranian state-affiliated media. (Washington Post illustration; Center row: Iranian state-affiliated media; Background: Planet, ...
Data-driven control of nonlinear dynamic systems has emerged as a transformative paradigm in control engineering, leveraging empirical data rather than detailed first-principles models. By embedding ...
Abstract: We derive novel deterministic bounds on the approximation error of data-based bilinear surrogate models for unknown nonlinear systems. The surrogate models ...