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Jeremy Howard
Jeremy Howard's file: Kaggle, medical AI, fast.ai, ULMFiT, practical deep-learning education, and a career spent trying to put powerful models in more hands.
Howard moved from startups and competitive machine learning into medical AI, then co-founded fast.ai around a stubborn idea: deep learning should be usable by ordinary programmers. He helped popularize practical transfer learning, co-created ULMFiT, and later started Answer.AI to keep pushing applied AI outside the giant labs.
HOW THE HELL DID JEREMY HOWARD GET HERE?
Oct 7, 2016
HE QUITS THE CEO JOB AND STARTS TEACHING DEEP LEARNING
After leading Enlitic and earlier serving as president and chief scientist of Kaggle, Howard launched fast.ai with Rachel Thomas to make deep learning more accessible.
RECEIPTS: fast.aifirst-party
Jan 17, 2017
THE COURSE PUSHES CODERS TOWARD THE RESEARCH FRONTIER
fast.ai expanded Practical Deep Learning for Coders with a second course focused on implementing recent research and production-grade systems.
RECEIPTS: fast.aifirst-party
Sep 8, 2017
FAST.AI MOVES ITS STACK TO PYTORCH
Howard announced that future fast.ai courses would be built largely around PyTorch and a higher-level library the team had created on top of it.
RECEIPTS: fast.aifirst-party
May 15, 2018
ULMFIT MAKES TRANSFER LEARNING WORK FOR LANGUAGE
Howard and Sebastian Ruder introduced ULMFiT, a transfer-learning method that helped establish fine-tuning as a powerful approach for natural-language tasks.
RECEIPTS: fast.aifirst-party
2020
THE COURSE BECOMES A BOOK-AND-CODE SYSTEM
fast.ai released a new Practical Deep Learning for Coders course alongside a freely accessible notebook-based book and updated software stack.
RECEIPTS: fast.aifirst-party
Dec 12, 2023
TEN MILLION DOLLARS FOR A SMALL APPLIED-AI LAB
Howard announced Answer.AI, a new research-and-development lab backed by a $10 million investment and focused on making AI useful to more people.
RECEIPTS: fast.aifirst-party