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 ...

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

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, ...

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

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 ...

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 ...

In 2023, the website then known as Twitter partially open sourced its algorithm for the first time. In those days, Tesla billionaire Elon Musk had only recently acquired the platform, and he claimed ...

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

Most organisations approach AI as a technology experiment rather than an operational transformation. Scaling requires more than building accurate models ...

As AI reshapes white-collar work, experts reveal which Class 11 streams stay relevant and why digital literacy, adaptability and human skills matter more than labels.