Registration/zoom link https://zoom.us/meeting/register/tJ0uf-iopzkvGdJJpq42h5f7wOqUcKtCc7y7 (also webinar schedule from this page: https://www.springer.com/journal/42985/updates/18235540 )
On Oct 3, 2020, at 1:46 PM, Neil Sloane <njasloane@gmail.com> wrote:
Dear Math Fun: I keep coming across sequences that badly need a formula, possibly expressing them in terms of some known sequence. A337641 and A337655 are two recent examples.
Why not use AI to strengthen Superseeker?, I keep saying
There is a talk on Monday that might be relevant: This announcement just arrived in email:
Springer Nature <springernature@newsletter.springernature.com> George Em Karniadakis (Brown University and MIT) From PINNs to DeepOnets: Approximating functions, functionals, and operators using deep neural networks
Throughout October, authors from the new journal SN Partial Differential Equations and Applications will be hosting a series of free webinars on topics related to partial differential equations.
Up next is a presentation by George Em Karniadakis of Brown University and MIT on approximating functions using deep neural networks. Join us for a lively discussion on October 5th at 9am EST, 3pm CET. I signed up, but AI and PDEs are not my field.
If anyone is interested, please watch too _______________________________________________ math-fun mailing list math-fun@mailman.xmission.com https://mailman.xmission.com/cgi-bin/mailman/listinfo/math-fun