I think you’re really going to enjoy today’s show. Our guest this week is Dominique Simmons, applied research Scientist at AI tools vendor Dimensional Mechanics. Dominique brings an interesting background in cognitive psychology and psycholinguistics to her work and research in AI and, well, to this podcast. We cover the implications of cognitive psychology for neural networks and AI systems, and more.
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In particular, we dig into how an understanding of human cognition impacts the development of AI models for media applications. We also discuss her research into multimodal training of AI models, and how our understanding of the human brain has influenced this work. We explore the debate around the biological plausibility of machine learning and AI models as well. It was a great conversation.
The Future of Data Summit
Next week I’ll be hosting my Future of Data Summit in Las Vegas as part of the Interop ITX conference. I’ve got a ton of great speakers lined up for the event, including folks from Intel, Microsoft, GE, Capital One, Level 3 Communications and Walmart as well as leading industry analysts and startups. Topics will span IoT & edge computing, data management, of course machine learning and AI, blockchain, and more. If you’re planning to attend Interop, I hope you join us at the Summit. If you’ve been meaning to attend, but held out till the last minute, it’s not too late to register for the Summit using my 20% off discount code. Visit twimlai.com/interop. Of course, if you have any questions about the Summit, feel free to reach out to me via the contact page.
Get Your Stickers
Yep, we’ve got laptop stickers for the podcast, and we want to give you one! We’re continuing the sticker giveaway until we run out! Send us your favorite quote from today’s show via a comment or post on Facebook, Twitter, Youtube or SoundCloud, as well as via this show notes page, and we’ll send a sticker your way!
About Dominique Simmons
Mentioned in the Interview
- Dimensional Mechanics Website
- Dimensional Mechanics on Twitter
- Cross-Modal Transfer of Talker Learning
- The Effect of Phonological Encoding on Word Duration: Selection Takes Time
- Learning by Pixels or Experience? Assessing the Importance of Biologically Plausible Artificial Neural Networks
- Training Artificial Intelligence Systems with Multimodal Data