NIST published details about a type of cyberattack unique to AI systems where attackers can “poison” data that might be used ...

AI can simplify this by using machine learning algorithms to automatically adjust bids based on performance data. This uses ...

In pharma, smaller-scale AI and supervised machine learning models could provide more effective solutions than large language ...

Artificial intelligence (AI) continues to grow in prominence, making its way into everyday processes like banking, ...

In the world of technology, artificial intelligence (AI) has steadily advanced, influencing various fields such as healthcare ...

Carollo Principal Technologist Nick Guho explains how utilities can use machine learning technology for clarification ...

Social media platforms have struggled to accurately detect hate speech, especially given the different definitions and ...

The 2024 Nobel Prize in chemistry recognized Demis Hassabis, John Jumper and David Baker for using machine learning to tackle ...

Adaptive ML pipelines excel at dynamically adjusting to incoming data, addressing issues like concept drift and shifting data ...

Researchers used multimodal wearable sensors and machine learning to track real-time fatigue in manufacturing workers, ...

Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use ...

The U.S. Treasury says it increased detection and prevention of fraud by six-fold, to $4 billion, in 2024 thanks to machine ...