Neural networks have gone mainstream with a lot of heavy-duty — and heavy-weight — tools and libraries. What if you want to fit a network into a little computer? There’s tinn — the tiny neural network ...

Smooth developer experience is fundamental in artificial intelligence designs. Development toolkits can streamline the preparation of trained neural networks for edge and low-latency data-center ...

A neural-network-driven computer system offers the potential to optimize sootblowing in coal plant boilers, reduce NO X emissions, improve heat rate and unit efficiency, and reduce particulate matter ...

Computer programming has never been easy. The first coders wrote programs out by hand, scrawling symbols onto graph paper before converting them into large stacks of punched cards that could be ...

Overview Books provide a deeper understanding of AI concepts beyond running code or tutorials.Hands-on examples and practical ...

Although neural networks have been studied for decades, over the past couple of years there have been many small but significant changes in the default techniques used. For example, ReLU (rectified ...

Twitter user Michael Friesen taught a generative adversarial network (GAN) — a machine learning AI designed to dream up images of anything from human faces to Airbnbs — to generate new Pokémon. The ...

The initial research papers date back to 2018, but for most, the notion of liquid networks (or liquid neural networks) is a new one. It was “Liquid Time-constant Networks,” published at the tail end ...

Neural networks have been responsible for some of the most intriguing creations, from candy heart messages to insane recipes. Now, though, someone has tried to use the power of neural networks to make ...