Abstract: Standard Bayesian learning is known to have suboptimal generalization capabilities under misspecification and in the presence of outliers. Probably approximately correct (PAC)-Bayes theory ...

ABSTRACT: In Côte d’Ivoire, coconut cultivation represents both a major cash crop and an important source of subsistence for rural communities. However, coconut plantations are increasingly threatened ...

We formalize the generalization error bound using the Rademacher complexity for the Lean 4 theorem prover based on the probability theory in the Mathlib 4 library ...

A research team has introduced a lightweight artificial intelligence method that accurately identifies wheat growth stages ...

MenteeBot autonomously fetches a Coke, showing how robots can learn tasks through demonstration and verbal instructions.

A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...

APA has a mental health evaluation framework. I opted to augment the framework with an added focus on AI. Makes sense and is ...

By transferring temporal knowledge from complex time-series models to a compact model through knowledge distillation and attention mechanisms, the ...

From a governance perspective, the use of explainable AI is particularly significant. Infrastructure decisions involve public ...

"The large language models (LLMs) that currently underpin artificial intelligence (AI) may appear impressive, but at their ...

State party chairs are predictably framing the election around the face of their opposing party, but local factors could also ...

Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...