There’s a lot of talk about self-driving cars, yet autonomy includes far more than cars. There's a great amount of interest and development in autonomous delivery, which offers solutions that transport goods or people either in air, land, or water. This episode covers the autonomous delivery landscape, who is working on it, and what to expect in the coming years.

With geospatial technologies and 3D data collection platforms like LiDAR and photogrammetry becoming more mainstream, the pieces of a larger tech confluence are already in place and starting to augment our daily lives. This episode dives into spatial computing and how 3D data is used to create digital scaffolds of machine and human readable information for autonomous systems, mixed reality platforms, and beyond.

Artificial intelligence (AI) is baked into virtually every modern software application we use. From automatic spam filters in your email account, to recommending movies to watch on Netflix or products to buy from Amazon, AI is pervasive in consumer applications. This episode discusses the rise of AI devices, how far they've come, and what the future might hold for the technology. This podcast originally aired in May 2019 and some content may be dated.

This episode explores the field of data science and privacy and how laws like GDPR are changing the market and technology landscape. This podcast originally aired in April 2019 and some content may be dated.

Can futuristic technology depicted in pop culture come to fruition? This episode explores the technology behind the popular “Black Mirror” episode, “Nosedive”, and aspects of ethical decision making. This podcast originally aired in February 2019 and some content may be dated.

IQT’s Lab41 discusses how reinforcement learning can be used to train an autonomous agent to play their all-time favorite 1st person shooter video game: Doom! Listen in as they discuss some of the mechanics behind training the agent and interesting issues that arise when trying to optimize the agent. This podcast originally aired in January 2019 and some content may be dated.

The Voices Obscured in Complex Environmental Settings (VOiCES) corpus is a creative commons speech dataset targeting acoustically challenging and reverberant environments with robust labels and truth data for transcription, denoising, and speaker identification. This episode discusses the importance of open data and what AWS and Lab41 (an IQT Lab) are doing with open data research and analytics. This podcast originally aired in January 2019 and some content may be dated.

Nature.com describes synthetic biology as the design and construction of new biological parts, devices, and systems…and the re-design of existing, natural biological systems for useful purposes. This episode explores the evolution of synthetic biology, including how it’s used and what we could expect in the future. This podcast originally aired in December 2018 and some content may be dated.

Why is synthetic data important to certain kinds of machine learning applications? This episode dives into the technology trends and circumstances associated with the rise of synthetic data. This podcast originally aired in November 2018 and some content may be dated.

This episode provides an overview of IQT’s research and knowledge about commercial space, rocket launches, satellite constellations, and more. This podcast originally aired in November 2018 and some content may be dated.