Tootfinder

Accuser: Rep In Adultery/Abortion Scandal Fantasized About Ejaculating In His Daughter's Bake Sale Cookies - Joe.My.God.
https://www.joemygod.com/2025/07/accuser-rep-in-adultery-abortion-scandal-fantasized-about-ejaculating-in-his-daughters-bake-sale-cookies/

Find cities with similar climate
https://www.ecoclimax.com/2017/06/find-cities-with-similar-climate.html?m=1

Should Chargers consider reunion with former Cowboys superstar Ezekiel Elliott? https://www.si.com/nfl/chargers/chargers-reunion-cowboys-superstar-ezekiel-elliott

🇺🇦 #NowPlaying on KEXP's #MiddayShow
Rose City Band:
🎵 Sunlight Daze
#RoseCityBand
https://rosecityband.bandcamp.com/track/sunlight-daze
https://open.spotify.com/track/0PBB3VneK2oEyJq0KXLtRP

Hierarchical Reinforcement Learning Framework for Adaptive Walking Control Using General Value Functions of Lower-Limb Sensor Signals
Sonny T. Jones, Grange M. Simpson, Patrick M. Pilarski, Ashley N. Dalrymple
https://arxiv.org/abs/2507.16983

Hierarchical Reinforcement Learning Framework for Adaptive Walking Control Using General Value Functions of Lower-Limb Sensor Signals
Rehabilitation technology is a natural setting to study the shared learning and decision-making of human and machine agents. In this work, we explore the use of Hierarchical Reinforcement Learning (HRL) to develop adaptive control strategies for lower-limb exoskeletons, aiming to enhance mobility and autonomy for individuals with motor impairments. Inspired by prominent models of biological sensorimotor processing, our investigated HRL approach breaks down the complex task of exoskeleton contro…

What's it like for former Cowboys stars -- such as Micah, Emmitt, DeMarcus, Zeke -- to return to Dallas as an opponent https://www.espn.com/nfl/story/_/id/46366700/nfl-dallas-cowboys-micah-parsons-green-bay-packers

How AI tools from ElevenLabs and others were used to recreate a woman's voice, lost to motor neuron disease, from just eight seconds of audio on a VHS tape (Beth Rose/BBC)
https://www.bbc.com/news/articles/c1ejvxne7elo

How eight seconds of scratchy audio from a VHS tape gave a mum back her voice
Sarah Ezekiel was 34 with two children when motor neurone disease took away her ability to speak.

Pixel-Resolved Long-Context Learning for Turbulence at Exascale: Resolving Small-scale Eddies Toward the Viscous Limit
Junqi Yin, Mijanur Palash, M. Paul Laiu, Muralikrishnan Gopalakrishnan Meena, John Gounley, Stephen M. de Bruyn Kops, Feiyi Wang, Ramanan Sankaran, Pei Zhang
https://arxiv.org/abs/2507.16697

Pixel-Resolved Long-Context Learning for Turbulence at Exascale: Resolving Small-scale Eddies Toward the Viscous Limit
Turbulence plays a crucial role in multiphysics applications, including aerodynamics, fusion, and combustion. Accurately capturing turbulence's multiscale characteristics is essential for reliable predictions of multiphysics interactions, but remains a grand challenge even for exascale supercomputers and advanced deep learning models. The extreme-resolution data required to represent turbulence, ranging from billions to trillions of grid points, pose prohibitive computational costs for models b…

Don't Upgrade To Windows 11, Get This Instead... - #SomeOrdinaryGamers
https://www.youtube.com/watch?v=-EkaZlF5eF0

HPL-MxP Benchmark: Mixed-Precision Algorithms, Iterative Refinement, and Scalable Data Generation
Jack Dongarra, Piotr Luszczek
https://arxiv.org/abs/2509.19618 https://

HPL-MxP Benchmark: Mixed-Precision Algorithms, Iterative Refinement, and Scalable Data Generation
We present a mixed-precision benchmark called HPL-MxP that uses both a lower-precision LU factorization with a non-stationary iterative refinement based on GMRES. We evaluate the numerical stability of one of the methods of generating the input matrix in a scalable fashion and show how the diagonal scaling affects the solution quality in terms of the backward-error. Some of the performance results at large scale supercomputing installations produced Exascale-level compute throughput numbers thu…