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 ...

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

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

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

Successful leaders will harness the power of AI while amplifying essential human capabilities. Three experts share essential ...

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

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

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...