How is ACT using NLP and GPT2 for Sphinx and other automatic content generation? In this episode of the Navigator podcast, we discuss Natural Language Processing with Yuchi Huang, a Senior Manager in the Artificial Intelligence and Machine Learning team at ACTNext. Yuchi takes us through some of the pitfalls and practices of using machine learning for text content analysis and generation.  A transcript is available at:  https://actnext.org/research-and-projects/podcast-ep-11-nlp-gpt2-sphinx/ The views and opinions expressed in this podcast are those of the authors only and do not necessarily reflect the official policy or position of ACT, Inc.

In this episode of the Navigator podcast, we discuss some of the artificial intelligence (AI) timeline, past, present and future, with Saad Khan , director of AI and machine learning for ACTNext. We'll learn how Saad's AI/ML team is using deep learning to create new tools for measurement and learning. A transcript is available at:  https://actnext.org/research-and-projects/podcast-ep10-aiml-saad-khan/ ‎

In this podcast, we talk about learning with Dr. Vanessa Simmering. She's a Senior Research Scientist in Learning Solutions and studies learning and development. In this interview, we talk about babies learning to crawl, walk, and run. We also discuss the Stroop Color and Word Test (try it here), crystallized versus fluid intelligence, and the dynamic systems theory of learning.

In this interview, Gunter Maris explains the theory behind The Wiring of Intelligence, a network model of learning. Maris describes the actions of a “crazy electrician” who wires the connections in our brains. The network theory of intelligence developed by Maris (with colleagues Alexander Savi, Maarten Marsman, and Han van der Maas) is based on the idea of a house with interconnected electrical sockets in every room that represent synaptic knowledge.

In this episode of ACTNext Navigator podcast, we discuss some of the history of AIG at ACT and a couple new devices: AIG for assessing graphic literacy (AIGL) and passage organizing and extraction (POE). Guests: Rick Meisner, Ian MacMillan, Brad Bolender.