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.

An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...

AI model using deep transfer learning – the most advanced form of machine learning – predicted with 92 % accuracy spoken ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

For years, the artificial intelligence industry has followed a simple, brutal rule: bigger is better. We trained models on ...

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

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

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

AI model using deep transfer learning – the most advanced form of machine learning – predicted with 92% accuracy spoken language outcomes at one-to-three years after cochlear implants (implanted ...