In conversation with Jeremy Howard - upskilling to better navigate AI
Channel: AI4LAM
Date: 2022-08-17

00:00 Intro - hosts Alexis Tindall, Daniel van Strien & Rowan Payne
05:24 Jeremy Howard
20:02 Q&A 

Like many other sectors, the library, archives and museums community are seeing the potential of artificial intelligence and machine learning in their work, but recognising the upskilling will be necessary before we can realise that potential.

Fast.ai have created and delivered accessible online training in deep learning, practical data ethics and natural language processing, alongside a software library, research and community outreach aimed at helping non-data scientists, and domain experts, find their way in AI. With their tagline “making neural nets uncool again” fast.ai aims to make deep learning as accessible as possible, breaking down the exclusivity that calls for certain education, dataset scale or kit that keeps people out of AI.

In August the AI4LAM Au/ANZ chapter and the international AI4LAM Teaching and Learning group are collaborating to bring you a discussion with Jeremy Howard, a founding researcher at fast.ai. A data scientist, researcher, developer, educator, and entrepreneur, Jeremy will share his experiences bringing AI to domain experts through training and outreach. After a short presentation in which he’ll share his experiences, he’ll engage in discussion and question time around opportunities in the libraries, archives and museums area.

About our speaker:

Jeremy Howard is a data scientist, researcher, developer, educator, and entrepreneur, and along with Rachel Thomas, is a founding researcher at fast.ai, a research institute dedicated to making deep learning more accessible. Jeremy is an honorary professor at the University of Queensland, and was previously Distinguished Research Scientist at the University of San Francisco, where he was the founding chair of the Wicklow Artificial Intelligence in Medical Research Initiative.

In previous roles he has been the founding CEO of Enlitic, which was the first company to apply deep learning to medicine, and was the President and Chief Scientist of the data science platform Kaggle, where he was the top ranked participant in international machine learning competitions 2 years running. As well as founding his own successful Australian startups (FastMail, and Optimal Decisions Group), Jeremy has invested in, mentored, and advised many startups, and contributed to many open source projects.

His talk on TED.com, The wonderful and terrifying implications of computers that can learn, has over 2.5 million views, and he is a co-founder of the global Masks4All movement.

Read more about fast.ai in The Economist New schemes teach the masses to build AI and MIT Tech Review The startup diversifying the AI workforce beyond just “techies”.