anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...

Anyone preparing for quant interviews must develop depth across several skill areas and know how to apply theory in a ...

Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...

The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Predicting the precise impact of AI on employment is fraught with uncertainty – and most of the time just plain wrong.

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

This finalizes our definition of adversarial location: the pitcher’s ability to locate pitches where a particular batter gets ...

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.