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 ...

Spiking neural networks (SNNs) often are touted as a way to get close to the power efficiency of the brain, but there is widespread confusion about what exactly that means. In fact, there is ...

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 ...

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

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 ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Neural networks are the backbone of ...

Dr. Tam Nguyen receives funding from National Science Foundation. He works for University of Dayton. There are many applications of neural networks. One common example is your smartphone camera’s ...

I was reading yet another document about artificial intelligence (AI). The introduction was covering the basics and the history of the subject. The authors mentioned expert systems and the real flaws ...