I wrote about the challenge of mathematicians explaining mathematics to other mathematicians for @ScienceMagazine's Expert Voices column series:
https://t.co/2qHXeXF6B8
5th Italian Meeting on Probability and Mathematical Statistics, Palermo, Italy, June 8-12, 2026
A strong list of invited speakers:
F. Biagini, LMU Munich
S. Favaro, University of Turin
F. Flandoli, Scuola Normale Superiore di Pisa
S. Micali, MIT
G. Savaré, Bocconi University
Dottorati di ricerca, è on line il bando 41° ciclo emanato con decreto rettorale numero 711. Le domande di partecipazione andranno presentate entro e non oltre le 23:59 del 31 luglio prossimo.
Qui il bando
https://t.co/V5snSVwbpX
#IPCC's 2022 #ClimateReport shows heatwaves in Europe will become more frequent, more intense & will last longer.
By 2050, about half of the European population may be exposed to high or very high risk of heat stress during summer.
➡️ https://t.co/FkIviyk5Qp
@jkulinz Wishing a fantastic birthday to an incredible institution! I’m proud to have been a part of the @jkulinz community during my time there. The experiences and knowledge I gained have shaped my journey in so many ways. Cheers to the future! 🥂
BREAKING NEWS
The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”
Oldies but goldies: S. Bernstein, Démonstration du théorème de Weierstrass fondée sur le calcul des probabilities, 1912. Constructive and quantitative proof of Weierstrass polynomial density in continuous function using Bernstein’s polynomials. https://t.co/Nwk3W0G7sQ
Just started in Salzburg @PLUS_1622 the event on "Soft Methods in Probability and Statistics". Amazing talks and nice (old and new) Colleagues! https://t.co/iVFE0H70oD #SMPS2024 @IdaSalzburg
Apply now for the 3rd Como Training School on Compound Events!
🗓️ Dates: Sept 24 - Oct 4, 2024
📝 Deadline for applications: Aug 25, 2024
📖 Learn more on our blog https://t.co/WfV3a54vh2
🔗Further info: https://t.co/cICtMq5UFh
With efficient algorithms, well-chosen functions and enough examples, machine learning can create powerful computational models that do things we have no idea how to program. @johnpavlus reports: https://t.co/XUvyCgLjW8
Happy to share our new methodology for copula-based #clustering of time series for geo-referenced data, together with Roberta Pappadà @UniTrieste and Alessia Benevento @unisalento
https://t.co/5kszizmUot
Sleeping and dreaming may be beneficial (for your artificial neural networks). Have a look at the recent paper https://t.co/6LYLFPxBtx
#NeuralNetworks#ArtificialIntelligence