How to Expand the Capabilities of Large Language Models at AICamp, Austin, 2023. (Slides)
How to Build Someone We Can Talk To at Data Day Texas, Austin, 2023. (Slides)
A Path to Strong AI Keynote at Data Day Texas, Austin, 2022. (Slides)
Moving Your Machine Learning Models to Production with TensorFlow Extended at Data Day Texas, Austin, 2020. (Slides)
Generating Natural-Language Text with Neural Networks at Data Day Texas, Austin, 2018. (Slides)
From Natural Language Processing to Artificial Intelligence at Data Day Texas, Austin, 2017. (Slides)
How to Progress from NLP to Artificial Intelligence at IT Weekend, Ukraine, 2017.
Adding Meaning to Natural Language Processing at O’Reilly AI, New York, 2017. (Video)
Chatbots from First Principles at Data Day Seattle, 2017. (Slides)
Chatbots from First Principles at NLP Day, Austin, 2017. (Slides) (Video)
What Deep Learning Means for Artificial Intelligence at Global Data Geeks, Austin, 2017. (Video) (Slides (2016 version))
From Natural Language Processing to Artificial Intelligence at Data Day Texas, Austin, 2017. (Slides)
Deep Learning for Natural Language Processing at NLP Community Day, Austin, 2015. (Slides)
A free video course on NLP with code. Modern Practical Natural Language Processing.
Practical Methods for Overcoming the Machine Learning Data Bottleneck in Austin on October 5, 2018.
Hands-on Introduction to NLP with TensorFlow in Austin on April 27, 2018. Previous classes were in Seattle (2017) and in Austin (2018).
I created the O’Reilly video course Natural Language Text Processing with Python.
I discuss AI with PC Magazine. Here
The Financial Times mentions my views on chatbots. Here
New York Times mentions my views on teaching kids programming. Here
Happy Cyborg on NPR Social Media Desk. Here
I talk with Brains Behind AI about developing robots that understand our world the way human children do. Here
I talk with This Week in Machine Learning & AI (TWIMLAI) about natural language processing and what computers still don't understand. Here
I talk with Voice of America about a future dominated by robots and the skills our children will need to thrive. Here
I talk with GeekAustin about artificial intelligence and machine learning. Here
I talk with Singularity Weblog about child education in an age of accelerating change. Here
I talk with SingularityHUB about preparing kids for technological change. Here
"Handwritten Digit Recognition Using a Hierarchical Bayesian Network"
pdf
Can you believe I got a B on this project? What a ripoff. I was deep learning when deep learning wasn't cool.
A 2005 survey on learning in robotics pdf, and a survey of Drescher's schema mechansim pdf.
Hi.