A hybrid analytical study of 23 Asia-Pacific nations reveals that food import dependency amplifies drought-induced ...

An exploratory machine-learning analysis reveals how risk tolerance, income, and education guide residue allocation decisions ...

When implementing AI systems, choosing between a rule-based vs. machine learning architecture is critical to an application's usability, compatibility and efficiency. Rule-based systems are a basic ...

Sophia Feona Cantiller, a cum laude graduate in Computer Science from the University of the Philippines, swapped coding bugs for content buzz. Her true love? Writing stories. We maintain a strict ...

In this paper, explainable artificial intelligence (XAI) based prediction is used for gate all around (GAA) MOSFET to predict its electrical behaviour. The data set is produced using TCAD simulations ...

A dire threat to public health can emerge from a huge variety of sources—for example, infectious diseases, a spate of drug overdoses, or exposures to toxic chemicals. Federal, state, and local health ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Lily Mara explains how to avoid high-risk ...

Machine learning is a subfield of artificial intelligence which gives computers an ability to learn from data in an iterative manner using different techniques. Our aim here being to learn and predict ...

Through artificial intelligence, machine learning and robotics, Case School of Engineering’s researchers are developing technologies for smart cities, smart manufacturing, smart homes, smart ...

All materials contain inherent defects. These are not always harmful, since they can be used to engineer and introduce ...