A new study finds that humans and AI spot different kinds of deepfakes — hinting at the need to team up to fight them.

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

Artificial intelligence is reshaping cybersecurity, but much of that progress has focused on cloud and enterprise ...

Many small businesses use AI tools every day, but how do they actually work? And where does all that “knowledge” come from?..

In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

Global Ai in Mental Health Market size is expected to be worth around USD 14.89 Billion by 2033 from USD 0.92 Billion in 2023.

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to artificial intelligence ...

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

ABSTRACT: Purpose: The purpose of this study is to develop a scalable, risk-aware artificial intelligence (AI) framework capable of detecting financial fraud in high-throughput digital transaction ...