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 ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

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 ...

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 ...

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

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

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