A new crowd-trained way to develop LLMs over the internet could shake up the AI industry with a giant 100 billion-parameter ...

In the modern digital era, fraud in programmatic advertising has become a multi-billion-dollar challenge, threatening the ...

Genetic algorithms can automate data preparation, feature selection, and hyperparameter tuning in machine learning. Learn to ...

By combining machine learning-based text classification and sentiment analysis, we can create a robust AI-powered email ...

What if data could help predict a patient's prognosis, streamline hospital operations, or optimize human resources in ...

Researchers made a technique that improves the trustworthiness of machine-learning models, which could help improve the accuracy and reliability of AI predictions for high-stakes settings such health ...

One of the biggest challenges in demand forecasting is ensuring that models developed by data scientists align with the needs ...

With such an explosion of e-commerce ecosystem today, fraud detection and risk management have grown beyond a mere necessity. Online marketplaces that link buye ...

Researchers have applied object recognition technology to track changes in brain cell structure and provide new insights into how the brain responds to heroin use, withdrawal and relapse.

A new machine learning algorithm excels at interpreting optical spectroscopy data of molecules, materials and disease ...