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 ...

Data and algorithms are how AI learns, that is different from the way humans learn. Human beings learn using their experience, emotional responses and comprehension, which indicate starkly different ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

For the lowest power consumption, MCUs are still preferred, and for high performance, MPUs are dominant. But that’s changing.

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

Research reveals why AI systems can't become conscious—and what radically different computing substrates would be needed to ...

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 ...