We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

AI-driven trading is reshaping markets with speed, pattern discovery, and new risks—bringing efficiency and unpredictability.

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

Mathbots haven’t done much for K-12 math instruction. Can more sophisticated uses of AI succeed in turning around American ...

Despite advanced algorithms and automation, one truth remains: Effective cybersecurity requires a careful balance between ...

Whether it's traditional machine learning (ML) or its trendier generative cousin, artificial intelligence (AI) is appearing in a range of streaming ad tech use cases for increasing under-the-hood ...

As artificial intelligence (AI) continues to revolutionize the economy, courts are increasingly being asked to determine ...

As we head towards 2026, AI has become a powerful aid for both learners and teachers, enabling personalized study and ...

Weed control is essential in apple orchards because weeds compete with trees for nutrients, water and sunlight, which can ...

Today's students upload content to an AI and present its analysis as their own thinking. Research reveals why this cognitive ...

So, is general knowledge still valuable in the age of AI? Absolutely. But its value has shifted. It’s no longer about being a ...