IoT will be the next driver of AI innovation. By 2025, there will be 55 billion IoT devices (Business Insider Intelligence), and  Due to to latency, cost, privacy and connectivity issues, being able to analyze data at the edge where it’s created is critical because it improves the speed of analysis and decision-making.

Data analytics has generally relied on human-defined classifiers or “feature extractors” which are rules that can be as simple as a linear regression, to more complicated machine learning algorithms. But can you imagine building a human-defined perfect rule-based system to model everything?

Here’s a great tutorial on how to get started with the new Jetson Nano.

In this tutorial, you will learn how to get started with your NVIDIA Jetson Nano, including: First boot Installing system packages and prerequisites Configuring your Python development environment Installing Keras and TensorFlow on the Jetson Nano Changing the default camera Classification and object detection with the Jetson Nano I’ll […]

In my previous post, I talked about Jetson Nano being the AI dream machine that Makers have been waiting for, but will it replace the noble Raspberry Pi?

It’s an exciting time for small factor computing. As if the Raspberry Pi wasn’t enough of an all purpose machine, more powerful boards capable of incredible feats keep appearing. The Jetson Nano from Nvidia is a recent addition to the ranks of super powerful machine learning enabled boards. What […]

Nvidia CEO Jensen Huang holds up the Jetson Nano onstage during the GTC keynote address in San Jose, California — its smallest computer ever.

This new embedded computer in its Jetson line for developers deploying AI on the edge and the goal is to make them affordable.

The Jetson Nano developer kit is available today for $100, while the $129 Jetson Mini computer for embedded devices will be available in June.