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

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

The exchange between LeCun and Hassabis underscores broader differences in how the pair view the path to achieving artificial ...

3. Timeliness and currency: Outdated information undermines AI performance. In fast-changing fields, models that rely on ...

AI projects are not for the faint-hearted – they need to be properly resourced with the different skills required: data ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...

Pathology has long been the cornerstone of cancer diagnosis and treatment. A pathologist carefully examines an ultrathin ...

In 2026, owning a domain won’t just be about staking a claim on the web. It will mean establishing trust, flexibility, and ...