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 ...

The online information landscape, driven in large part by social media, rewards engagement and is curated by classification ...

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

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

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 ...

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

Quantum computing is entering a pivotal year as breakthroughs move from laboratory experiments to real business impact across ...

In some sense, Mr. Brooks has only himself to blame. The current humanoid craze is “kind of his fault,” said Anthony Jules, ...