Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

YouTube’s recommendation engine failed on February 17, 2026, stranding hundreds of thousands of users on blank, unresponsive ...

Yann LeCun is a leading AI voice whose pathbreaking work in neural networks became the foundation for modern computers and deep learning.

As India hosts the AI Summit 2026, the gap etween what AI can do, what it is doing, and what the legal system is equipped to address, is widening. That gap carries real consequences for citizens, ...

For at least a decade, much of the must-have cybersecurity tools available have been powered by machine learning, predictive analytics, and pattern recognition—subsets of the broader bucket of ...

AI optimists envision a future where artificial general intelligence (AGI) surpasses human intelligence, but the path remains riddled with scientific and logistical hurdles.

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, ...

Vocxi Health is closer than ever to launching a handheld breath test that uses graphene nanosensors to detect asymptomatic cancer.