One of the challenges with existing fraud detection systems is that they are primarily rules-based, using predefined notions of what constitutes fraudulent or suspicious behavior. The problem is that ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

Machine learning is accelerating target identification, toxicity prediction and drug repurposing, but researchers insist ...

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...

What is boosting in machine learning? Boosting in machine learning is a technique for training a collection of machine learning algorithms to work better together to increase accuracy, reduce bias and ...

A Turkish research team found nitrogen was the most effective fertilizer for boxwood growth and root development, and used ...

The algorithms that underlie modern artificial-intelligence (AI) systems need lots of data on which to train. Much of that data comes from the open web which, unfortunately, makes the AIs susceptible ...