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

The Nobel Prize in Physics was awarded to two scientists for discoveries that laid the groundwork for the artificial intelligence. British-Canadian Geoffrey Hinton, known as a 'godfather of AI', and ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

An artificial neural network (ANN) is a type of machine learning that identifies patterns from data to make predictions about its features. Scientists like Grace Lindsay, computational neuroscientist ...

Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...

Binary digits and circuit patterns forming a silhouette of a head. Neural networks and deep learning are closely related artificial intelligence technologies. While they are often used in tandem, ...

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 ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

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 ...

Machine learning models delivered the strongest performance across nearly all evaluation metrics. CHAID and CART provided the ...