Semantic Folding for Natural Language Understanding with Francisco Weber - #451

Semantic Folding for Natural Language Understanding with Francisco Weber - #451

Today we’re joined by return guest Francisco Webber, CEO & Co-founder of Cortical.io. Francisco was originally a guest over 4 years and 400 episodes ago, where we discussed his company Cortical.io, and their unique approach to natural language processing. In this conversation, Francisco gives us an update on Cortical, including their applications and toolkit, including semantic extraction, classifier, and search use cases. We also discuss GPT-3, and how it compares to semantic folding, the unreasonable amount of data needed to train these models, and the difference between the GPT approach and semantic modeling for language understanding. The complete show notes for this episode can be found at twimlai.com/go/451.

Episoder(779)

Bridging the Patient-Physician Gap with ML and Expert Systems w/ Xavier Amatriain - #316

Bridging the Patient-Physician Gap with ML and Expert Systems w/ Xavier Amatriain - #316

Today we’re joined by return guest Xavier Amatriain, Co-founder and CTO of Curai, whose goal is to make healthcare accessible and scaleable while bringing down costs. In our conversation, we touch on ...

11 Nov 201939min

What Does it Mean for a Machine to "Understand"? with Thomas Dietterich - #315

What Does it Mean for a Machine to "Understand"? with Thomas Dietterich - #315

Today we have the pleasure of being joined by Tom Dietterich, Distinguished Professor Emeritus at Oregon State University. Tom recently wrote a blog post titled "What does it mean for a machine to “un...

7 Nov 201938min

Scaling TensorFlow at LinkedIn with Jonathan Hung - #314

Scaling TensorFlow at LinkedIn with Jonathan Hung - #314

Today we’re joined by Jonathan Hung, Sr. Software Engineer at LinkedIn. Jonathan presented at TensorFlow world last week, titled Scaling TensorFlow at LinkedIn. In our conversation, we discuss their m...

4 Nov 201935min

Machine Learning at GitHub with Omoju Miller - #313

Machine Learning at GitHub with Omoju Miller - #313

Today we’re joined by Omoju Miller, a Sr. machine learning engineer at GitHub. In our conversation, we discuss: • Her dissertation, Hiphopathy, A Socio-Curricular Study of Introductory Computer Scien...

31 Okt 201943min

Using AI to Diagnose and Treat Neurological Disorders with Archana Venkataraman - #312

Using AI to Diagnose and Treat Neurological Disorders with Archana Venkataraman - #312

Today we’re joined by Archana Venkataraman, John C. Malone Assistant Professor of Electrical and Computer Engineering at Johns Hopkins University. Archana’s research at the Neural Systems Analysis Lab...

28 Okt 201946min

Deep Learning for Earthquake Aftershock Patterns with Phoebe DeVries & Brendan Meade - #311

Deep Learning for Earthquake Aftershock Patterns with Phoebe DeVries & Brendan Meade - #311

Today we are joined by Phoebe DeVries, Postdoctoral Fellow in the Department of Earth and Planetary Sciences at Harvard and Brendan Meade, Professor of Earth and Planetary Sciences at Harvard. Phoebe ...

25 Okt 201936min

Live from TWIMLcon! Operationalizing Responsible AI - #310

Live from TWIMLcon! Operationalizing Responsible AI - #310

An often forgotten about topic garnered high praise at TWIMLcon this month: operationalizing responsible and ethical AI. This important topic was combined with an impressive panel of speakers, includi...

22 Okt 201930min

Live from TWIMLcon! Scaling ML in the Traditional Enterprise - #309

Live from TWIMLcon! Scaling ML in the Traditional Enterprise - #309

Machine learning and AI is finding a place in the traditional enterprise - although the path to get there is different. In this episode, our panel analyzes the state and future of larger, more establi...

18 Okt 201933min

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