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The IQT Podcast explores and offers insight about rapidly evolving technology trends and their impact and contributions to national security. Subscribe to hear from IQT and other thought leaders across a variety of tech domains, including AI and machine learning, biotechnology, autonomous systems, and more. IQT identifies, adapts, and delivers technology solutions from commercial startups to support the national security missions of the U.S. and its allies. Learn more at www.iqt.org.
Episodes
Tuesday Jan 21, 2020
Tuesday Jan 21, 2020
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.
Tuesday Jan 21, 2020
Tuesday Jan 21, 2020
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.
Tuesday Jan 21, 2020
Tuesday Jan 21, 2020
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.
Tuesday Jan 21, 2020
Tuesday Jan 21, 2020
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.
Tuesday Jan 21, 2020
Tuesday Jan 21, 2020
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.
Tuesday Jan 21, 2020
Tuesday Jan 21, 2020
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.
Tuesday Jan 21, 2020
Tuesday Jan 21, 2020
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.
Tuesday Jan 21, 2020
Tuesday Jan 21, 2020
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.