Tootfinder

Mack says $18M Chargers extension made sense https://www.espn.com/nfl/story/_/id/45495317/khalil-mack-los-angeles-chargers-extension

NSD-Imagery: A benchmark dataset for extending fMRI vision decoding methods to mental imagery https://arxiv.org/abs/2506.06898

NSD-Imagery: A benchmark dataset for extending fMRI vision decoding methods to mental imagery
We release NSD-Imagery, a benchmark dataset of human fMRI activity paired with mental images, to complement the existing Natural Scenes Dataset (NSD), a large-scale dataset of fMRI activity paired with seen images that enabled unprecedented improvements in fMRI-to-image reconstruction efforts. Recent models trained on NSD have been evaluated only on seen image reconstruction. Using NSD-Imagery, it is possible to assess how well these models perform on mental image reconstruction. This is a chal…

Wonderful Embrace, extend, and extinguish from Google 🙄
https://grapheneos.social/@GrapheneOS/114661957699559672

Micah Parsons: The 2 contract negotiations that could drive up his price https://insidethestar.com/micah-parsons-the-2-contract-negotiations-that-could-drive-up-his-price

‘c’: More Than Just Fast as We Unpack the Universe’s Master Constant
Let's dive into the universe's ultimate speed limit: the speed of light. It's a concept so fundamental that it underpins much of modern physics, yet so mind-bogglingly fast that, as you say, human intuition struggles to truly grasp it. We call it 'c', and its value in a vacuum is precisely 299,792,458 meters per second. That's not just an estimate; since 1983, the meter has been precisely defin…

Convergence of adaptive boundary element methods driven by functional a posteriori error estimates
Alexander Freiszlinger, Dirk Pauly, Dirk Praetorius
https://arxiv.org/abs/2506.10499

Convergence of adaptive boundary element methods driven by functional a posteriori error estimates
The recent work [Kurz et al., Numer. Math., 147 (2021)] proposed functional a posteriori error estimates for boundary element methods (BEMs) together with a related adaptive mesh-refinement strategy. Unlike most a posteriori BEM error estimators, the proposed functional error estimators cover Galerkin as well as collocation BEM and, more importantly, do not control the error in the integral density on the boundary, but the error of the potential approximation in the domain, which is of greater …

Parsons at Cowboys minicamp, extension in limbo https://www.espn.com/nfl/story/_/id/45487664/cowboys-micah-parsons-minicamp-extension-limbo

Structure and asymptotic preserving deep neural surrogates for uncertainty quantification in multiscale kinetic equations
Wei Chen, Giacomo Dimarco, Lorenzo Pareschi
https://arxiv.org/abs/2506.10636

Structure and asymptotic preserving deep neural surrogates for uncertainty quantification in multiscale kinetic equations
The high dimensionality of kinetic equations with stochastic parameters poses major computational challenges for uncertainty quantification (UQ). Traditional Monte Carlo (MC) sampling methods, while widely used, suffer from slow convergence and high variance, which become increasingly severe as the dimensionality of the parameter space grows. To accelerate MC sampling, we adopt a multiscale control variates strategy that leverages low-fidelity solutions from simplified kinetic models to reduce …

Micah Parsons 'hopeful' to have deal with Cowboys done by training camp https://www.dallascowboys.com/news/micah-parsons-hopeful-to-have-deal-with-cowboys-done-by-training-camp

Micah Parsons 'hopeful' to have deal with Cowboys done by training camp https://www.dallascowboys.com/news/micah-parsons-hopeful-to-have-deal-with-cowboys-done-by-training-camp