[seqfan] Re: Using AI to help Superseeker guess formulas for sequences

[Marc LeBrun]

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 at gmail.com> wrote:
> 
> Dear Seq Fans, 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 at 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
> 
> 
> Best regards
> Neil
> 
> Neil J. A. Sloane, President, OEIS Foundation.
> 11 South Adelaide Avenue, Highland Park, NJ 08904, USA.
> Also Visiting Scientist, Math. Dept., Rutgers University, Piscataway, NJ.
> Phone: 732 828 6098; home page: http://NeilSloane.com
> Email: njasloane at gmail.com
> 
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