A marriage of formal methods and LLMs seeks to harness the strengths of both.
Python physics explained: tides and their mathematical model. Learn how tidal forces work and how to model them step-by-step in Python using clean math, simple assumptions, and clear visual intuition.
AxiomProver solved a real open math conjecture using formal verification, signaling a shift from AI that assists research to AI that discovers new truths.
Abstract: As corporate social responsibility (CSR) gains prominence, firms confront a strategic choice between symbolic CSR, which offers superficial signals and entails greenwashing risk, and ...
Scientific computing in Python is typically fragmented across multiple specialized libraries such as NumPy, SciPy, SymPy, scikit-learn, and domain-specific toolkits for cryptography, optimization, and ...
ThemisAevra Core is the standard interface for communicating with ThemisAevra's high-performance cognitive engine. This SDK provides the typed protocols, simulation hooks, and fleet management ...
Kolmogorov–Arnold Networks under TinyML Constraints: A Study on SoC Estimation for Electric Vehicles
Abstract: Kolmogorov–Arnold Networks (KANs) represent a promising machine learning architecture that leverages univariate functional decomposition to model complex phenomena using compact and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results