Learn how prior probability informs economic theory and decision-making in Bayesian statistics. Understand its role before collecting new data.

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...

Google DeepMind, a United Kingdom-based artificial intelligence company, is widely regarded as one of the pioneers of modern AI.

The paper addresses the AI shutdown problem, a long-standing challenge in AI safety. The shutdown problem asks how to design AI systems that will shut down when instructed, will not try to prevent ...

The Temporal Fusion Transformer model provides near-real-time insights into sintering temperatures, addressing critical challenges in steelmaking processes.

Bayesian inference is a statistical method of inductive reasoning based on the reassessment of competing hypotheses in the presence of new evidence. Conceptually similar to the scientific method ...

This article explores how AI-augmented laboratories optimize high-throughput experimentation and improve efficiency in ...

WiseCode uses AI-driven data analysis to reveal ingredient and nutrient information, helping you make more informed shopping ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...