Machine Learning

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Responsibly Deploy AI in Production with Anupam Datta

Once a machine learning model is trained and validated, it often feels like a major milestone has been achieved.  In reality, it’s more like the first lap in a relay race.  Deploying

Learning Tensorflow.js with Gant Laborde

Machine learning models must first be trained.  That training results in a model which must be serialized or packaged up in some way as a deployment artifact.  A popular deployment

No Code AI for Video Analytics with Alex Thiele

Imagine a world where you own some sort of building whether that’s a grocery store, a restaurant, a factory… and you want to know how many people reside in each section of the

Virtual Agents for IT and HR with Dan Turchin

The dream of machines with artificial general intelligence is entirely plausible in the future, yet well beyond the reach of today’s cutting edge technology.  However, a virtual agent

Autonomous Driving Infrastructure with Vinoj Kumar

Interest in autonomous vehicles dates back to the 1920s. It wasn’t until the 1980s that the first truly autonomous vehicle prototypes began to appear. The first DARPA Grand Challenge