In conversation with Jeremy Howard - upskilling to better navigate AI
In conversation with Jeremy Howard (fast.ai) on enabling upskilling in the wider community to help realise the potential of AI.
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”.
Image credit: DARWIN, NT. 1944-11-06. LANCE-CORPORAL N. MILLER, WIRELESS TELEGRAPHIC MORSE KEY OPERATOR AT 17 LINES OF COMMUNICATION SIGNALS. Australian War Memorial Museum.
Event logistics and community information:
A Zoom link will be provided via email, please do invite others to join the session (and don't share the Zoom details publicly). The session will be recorded and a link to the video provided to Zoom registrants and shared on social media #AI4LAM and community information channels.
Timezones across the Pacific region
- Australia: 8:30am PER, 10:00am ADL, 10:30am SYD/CBR/MEL/BNE
- New Zealand: 12:30pm AKL/WLG
- USA: 5:30pm SFO, 8:30pm DCA
This talk is brought to you by the AI4LAM Teaching and Learning AI Working Group and organised as part of a grassroots initiative - a regional chapter (Australia and New Aotearoa Zealand) of the AI4LAM community. AI4LAM is an international, participatory community focused on advancing the use of artificial intelligence in, for and by libraries, archives and museums.
Event attendees are encouraged to check out the AI4LAM: Community Site and sign up to receive and share information via Slack or Google Groups.
In conversation with Jeremy Howard (fast.ai) on enabling upskilling in the wider community to help realise the potential of AI.
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”.
Image credit: DARWIN, NT. 1944-11-06. LANCE-CORPORAL N. MILLER, WIRELESS TELEGRAPHIC MORSE KEY OPERATOR AT 17 LINES OF COMMUNICATION SIGNALS. Australian War Memorial Museum.
Event logistics and community information:
A Zoom link will be provided via email, please do invite others to join the session (and don't share the Zoom details publicly). The session will be recorded and a link to the video provided to Zoom registrants and shared on social media #AI4LAM and community information channels.
Timezones across the Pacific region
- Australia: 8:30am PER, 10:00am ADL, 10:30am SYD/CBR/MEL/BNE
- New Zealand: 12:30pm AKL/WLG
- USA: 5:30pm SFO, 8:30pm DCA
This talk is brought to you by the AI4LAM Teaching and Learning AI Working Group and organised as part of a grassroots initiative - a regional chapter (Australia and New Aotearoa Zealand) of the AI4LAM community. AI4LAM is an international, participatory community focused on advancing the use of artificial intelligence in, for and by libraries, archives and museums.
Event attendees are encouraged to check out the AI4LAM: Community Site and sign up to receive and share information via Slack or Google Groups.