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 ...

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

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

Nature Machine Intelligence publishes high-quality original research and reviews in a wide range of topics in machine learning, robotics and AI. We also explore and discuss the significant impact that ...

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 ...

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

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 ...

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

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

Whether you're looking to get ahead in your schoolwork, improve a business skill, edit video, or even master French pastry, the top online learning sites we've tested can help. I'm an expert in ...

This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...

Machine Design distills the cutting-edge landscape of advanced manufacturing through the eyes of multidisciplinary engineers, covering technical insights on the foundational and emerging principles of ...