The IQT Podcast

Latest Episodes:

Trust Me…Privacy and Security in Data Science Jan 21, 2020

Show notes

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.

Give Us Some (Social) Credit! Jan 21, 2020

Show notes

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.

Training an Autonomous Agent Jan 21, 2020

Show notes

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.

Open Data, AWS, and the VOiCES Dataset Jan 21, 2020

Show notes

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.

The Rise and Importance of Synthetic Biology Jan 21, 2020

Show notes

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.

Filling the Data Void: The Importance of Synthetic Data in Machine Learning Jan 21, 2020

Show notes

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.

The Commercial Space Between Us Jan 21, 2020

Show notes

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.

Can We Learn a System’s Optimal Behavior? Jan 21, 2020

Show notes

What is reinforcement learning? You may be wondering the answer to this given the wealth of discussion around Machine Learning (ML). This podcast dives into reinforcement learning (RL), a subfield of ML emerging from academia that allows a system to make decisions without explicit programming.

This podcast originally aired in May 2018 and some content may be dated.

Social Bots: The Emerging Social AI Market Jan 21, 2020

Show notes

A discussion about the proliferation and growth of social bots, agents that communicate autonomously on social media, often with the task of influencing the course of discussion and/or the opinions of its readers.

This podcast originally aired in April 2018 and some content may be dated.