Tootfinder

Cowboys Secondary projected as NFL’s second-worst in 2025 https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/07/12/fair-foul-cowboys-secondary-ranks-31-2025/84780732007/

Team Karlsruhe at ISWS 2025 at Bertinoro main village sqaure. This is the place to meet for AIFB and FIZ Karlsruhe teams ;-)
#isws2025 @… @…

Hess-MC2: Sequential Monte Carlo Squared using Hessian Information and Second Order Proposals
Joshua Murphy, Conor Rosato, Andrew Millard, Lee Devlin, Paul Horridge, Simon Maskell
https://arxiv.org/abs/2507.07461

Hess-MC2: Sequential Monte Carlo Squared using Hessian Information and Second Order Proposals
When performing Bayesian inference using Sequential Monte Carlo (SMC) methods, two considerations arise: the accuracy of the posterior approximation and computational efficiency. To address computational demands, Sequential Monte Carlo Squared (SMC$^2$) is well-suited for high-performance computing (HPC) environments. The design of the proposal distribution within SMC$^2$ can improve accuracy and exploration of the posterior as poor proposals may lead to high variance in importance weights and …

This 👇 👇 👇
https://www.theguardian.com/commentisfree/2025/jun/12/driverless-cars-pedestrians-second-class-citizens?CMP=share_btn_url

This 👇 👇 👇
https://www.theguardian.com/commentisfree/2025/jun/12/driverless-cars-pedestrians-second-class-citizens?CMP=share_btn_url

Defensa cierra fuerte segundo día de minicampamento obligatorio https://www.raiders.com/video/defensa-cierra-fuerte-segundo-dia-de-minicampamento-obligatorio-2025

Next stop in our NLP timeline is 2013, the introduction of low dimensional dense word vectors - so-called "word embeddings" - based on distributed semantics, as e.g. word2vec by Mikolov et al. from Google, which enabled representation learning on text.
T. Mikolov et al. (2013). Efficient Estimation of Word Representations in Vector Space.
…

Efficient Estimation of Word Representations in Vector Space
We propose two novel model architectures for computing continuous vector representations of words from very large data sets. The quality of these representations is measured in a word similarity task, and the results are compared to the previously best performing techniques based on different types of neural networks. We observe large improvements in accuracy at much lower computational cost, i.e. it takes less than a day to learn high quality word vectors from a 1.6 billion words data set. Fur…

Cowboys' second-year player expected to make biggest leap in 2025 https://www.si.com/nfl/cowboys/news/dallas-cowboys-second-year-player-expected-make-biggest-leap-2025

ISWS 2025 evening at the Bertinoro village square. waiting for the surprise event 😉
#ISWS2025 #semanticweb #KnowledgeGraphs

Graffitti along the road downhill from Bertinoro castle taken while coming back from the daily morning run. Love & passion ;-)
#isws2025 #running #summerschool