Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...

Anthropic is pushing into the healthcare market as it launches artificial intelligence tools and resources purpose-built for ...

Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in ...

Abstract: Accurate assessment of cardiac function is vital for preventing and managing cardiovascular diseases (CVDs). Recent advancements in machine learning, especially convolutional neural networks ...

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from massive datasets and powering next-gen AI. That future might be closer than ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Every survey finding published by Pew Research ...

Background: Sodium intake is undoubtedly essential for normal bodily function, but it is an important public health concern when intake exceeds dietary requirements. With salt intake exceeding ...