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.

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

Is Your Enterprise Architecture Ready for AI? Think you understand enterprise IT? Low-code, AI copilots, and self-evolving ...

Deep learning is an interdisciplinary field that has revolutionised the manner in which computers interpret and process complex data. Rooted in models inspired by the structure of the human brain, ...

The tiny worm Caenorhabditis elegans has a brain just about the width of a human hair. Yet this animal’s itty-bitty organ coordinates and computes complex movements as the worm forages for food. “When ...

In a marketplace where a single misconfiguration can trigger multimillion-dollar outages, AI, automation, and zero-trust security have become mission-critical disciplines rather than aspirational ...

A new machine learning approach that draws inspiration from the way the human brain seems to model and learn about the world has proven capable of mastering a number of simple video games with ...

A study has found that the way medical images are prepared before analysis can have a significant impact on the performance of deep learning models.