I love the pace and speed of innovation in the AI space and in the IoT arena. What we are seeing now are those two worlds converging. I suspect that we are going to see a lot more AI algorithms run on edge devices.

Here’s a look at the new Flex Logix inference chip.

The new Flex Logix inference chip can improve performance and reduce power consumption associated with computer vision algorithms. This week, at the International Security Conference, vendors showed off new sensors and solutions for the security market. A notable trend at the show was a large influx of tech that […]

James McCaffrey recently gave a talk on binary classification in Keras. Here are his thoughts on the topic.

I recently gave a short workshop/talk at the tech company I work for on binary classification using the Keras neural network code library. The goal of a binary classification problem is to predict something that can take on one of just two possible values. For example, you might want […]

In case you haven’t noticed it, we are in the middle of an AI boom. ML Engineers and Data Scientists are among the hottest job titles right now.

What is behind all this innovation? Is it breakthroughs in AI research? Yes. But there’s a more fundamental reason that AI is taking off right now: the cloud.  Yes, the cloud.

Cloud computing puts massive amounts of compute and storage at just about anyone’s fingertips. That has unleashed a lot more brainpower and innovation.

As these barriers to entry come down, companies and hobbyists around the world have started experimenting with machine learning and AI, exploring the possibilities and pushing the boundaries of what it can do. Much of this research has been shared with the wider community under open source licenses. A key example of is TensorFlow™, a machine learning library developed internally by Google and shared freely with the rest of the world.