Podcasts

Grady Booch on Today’s Artificial Intelligence Reality and What it Means for Developers

On the podcast today, Wes Reisz and Grady Booch discuss what today’s reality is for AI. Booch answers questions like what does an AI mean to the practice of writing software, and how it seems to impact delivering software. In addition, Booch talks about AI surges (and winters) over the years, the importance of ethics in software, and host of other related questions.

Emmanuel Ameisen, Head of AI at Insight, on Building a Semantic Search System for Images

On this week’s podcast, Wes Reisz talks to Emmanuel Ameisen, head of AI for Insight Data Science, about building a semantic search system for images using convolution neural networks and word embeddings, how you can build on the work done by companies like Google, and then explores where the gaps are and where you need to train your own models.

Mike Lee Williams on Probabilistic Programming, Bayesian Inference, and Languages Like PyMC3

Reisz talks with Mike Lee Williams of Cloudera’s Fast Forward Labs about Probabilistic Programming. The two discuss how Bayesian Inference works, how it’s used in Probabilistic Programming, production-level languages in the space, and some of the implementations/libraries that we’re seeing.

Jendrik Joerdening and Anthony Navarro on Self-Racing Cars Using Deep Neural Networks

Jendrik Joerdening and Anthony Navarro describe how a team of 17 Udacity students entered a self-racing car event using a Neural Network built with using Keras and Tensorflow to steer the car and just one front-facing camera.