Podcasts

AI, ML and Data Engineering InfoQ Trends Report

How AI, ML and Data Engineering evolved in 2021 as seen by the InfoQ editorial team. Topics discussed include deep learning, edge deployment of machine learning algorithms, commercial robot platforms, GPU and CUDA programming, natural language processing and GPT-3, MLOps, and AutoML.

Joe, Florian and Sebastian on the Indy Autonomous Challenge

The Technical University of Munich has won the Indy Autonomous Challenge. A competition for self-racing vehicles. In this we discussies the the event itself, what makes it challenging, and the approach the TU Munich took. We discuss the importance of simulation, the limits of hardware, how Docker helps crossing this gap, and the role of open source software when taking on such a challenge.

AI, ML and Data Engineering InfoQ Trends Report - August 2021

How AI, ML and Data Engineering are evolving in 2021 as seen by the InfoQ editorial team. Topics discussed include deep learning, edge deployment of machine learning algorithms, commercial robot platforms, GPU and CUDA programming, natural language processing and GPT-3, MLOps, and AutoML.

Brittany Postnikoff on Security, Privacy, and Social Engineering with Robots

Daniel Bryant sat down with Brittany Postnikoff, a computer systems analyst specialising on the topics of robotics, embedded systems, and human-robot interaction. Topics discussed included: the rise of robotics and human-robot interaction within modern life, the security and privacy risks of robots used within this context, and the potential for robots to be used to socially engineer people.