In an era where artificial intelligence is reshaping entire industries, Jinzhu Yang is leveraging cutting-edge technologies to bridge data, decisions, and human impact. With expertise spanning natural ...

In an era where digital payments and cybersecurity threats increasingly overlap, AI and machine learning have become ...

Machine-learning algorithms have allowed highly accurate ... morphology data together with computer algorithms to carry out unsupervised detection of cell types and somatic features.

Art generated by artificial intelligence (AI) first became mainstream when Refik Anadol’s Unsupervised was featured in the ...

This collaboration includes use of several PathAI technologies and establishes an agreement to offer novel tools and analytical services that address ...

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

The Deep Learning Market, valued at approximately USD 37.15 billion in 2021, is poised for remarkable growth over the forecast period of 2022-2029. With a projected healthy growth rate exceeding 33.5% ...

Subscription fraud doesn’t act like fraud—that’s why most systems miss it. It’s no longer flagged cards or flash-sale ...

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...

Researchers have been studying ways to leverage AI and machine learning algorithms in order to make sense of animal sounds ...

"Machine learning algorithms can label data much faster than human annotation ... The method combines two strategies: an ...

In the U.S., credit card fraud costs $5 billion annually, identity theft adds $16.4 billion, and Medicare fraud drains $60 billion each year. A new machine learning breakthrough generates accurate ...