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

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

Neural architecture search (NAS) and machine learning optimisation represent rapidly advancing fields that are reshaping the way modern systems are designed and deployed. By automating the process of ...

Confused by neural networks? This video breaks it all down in simple terms. Understand how they work and why they’re at the ...

The human brain, with its billions of interconnected neurons giving rise to consciousness, is generally considered the most powerful and flexible computer in the known universe. Yet for decades ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...

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

As artificial intelligence explodes in popularity, two of its pioneers have nabbed the 2024 Nobel Prize in physics. The prize surprised many, as these developments are typically associated with ...

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

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...