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.

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.

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 ...

With all the buzzwords surrounding artificial intelligence, from smiling promotions to angry chagrins—promises that it will ...

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

A new theoretical framework argues that the long-standing split between computational functionalism and biological naturalism misses how real brains actually compute.

The history of AI shows how setting evaluation standards fueled progress. But today's LLMs are asked to do tasks without ...

EPFL researchers have developed new software—now spun-off into a start-up—that eliminates the need for data to be sent to third-party cloud services when AI is used to complete a task. This could ...

But in today's economy, where inflation regularly outpaces the low interest rates offered by traditional banks, that old ...

The Greeks proposed the idea that humans are a form of artificial intelligence. Prometheus and Hephaestus use technology to ...