Machine learning is a mechanism where computers learn patterns from data instead of humans writing instructions step by step.
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Generative AI may cut costs in machine-learning systems, but it increases risks of cyberattacks and data leaks
Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...
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 ...
It's a commonplace of artificial intelligence to say that machine learning, which depends on vast amounts of data, functions by finding patterns in data. The phrase, "finding patterns in data," in ...
Technical traders have long searched for distinctive shapes in stock-price charts in order to predict returns. As artificial intelligence systems become better and better at recognizing visual ...
Machine Learning Meets Classical Statistics to Catch the Subtle Fingerprints of Polygenic Adaptation
One of the most stubborn problems in modern population genetics is not finding evidence of adaptation in the genome, but ...
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Indian-origin sixth-grader trains machine-learning model to spot lithium deposits with 89% accuracy
Ishaan Dokania, a sixth-grader from Oregon, is exploring lithium resource identification using satellite imagery and machine ...
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