Beyond the well-known benefits of flexibility and cost efficiency, composable architecture offers additional advantages that often go overlooked.

Understand how Highway Networks work and why they matter for training deep neural networks. A clear, beginner-friendly guide ...

Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once ...

This article explains what compute-in-memory (CIM) technology is and how it works. We will examine how current ...

Complex model architectures, demanding runtime computations, and transformer-specific operations introduce unique challenges.

Researchers have unveiled the All-Topographic Neural Network (All-TNN), a new AI vision model type that mimics human brain ...

So, while the Nvidia GeForce RTX 5060 has been out for a little over a month, I was finally able to get the Asus Prime model tested this week – and the results have been unsurprising. Just like the ...

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

Explore the architecture of AlexNet, a groundbreaking deep neural network that revolutionized computer vision. This video walks through its layers and impact on the field of AI.

In 1982 physicist John Hopfield translated this theoretical neuroscience concept into the artificial intelligence realm, with the formulation of the Hopfield network. In doing so, not only did he ...

Convolutional Neural Networks are deployed mostly on GPUs or CPUs. However, due to the increasing complexity of architecture and growing performance requirements, these platforms may not be suitable ...