Tootfinder

Das doch was für @…
https://www.crowdsupply.com/excamera/termdriver-2

TermDriver 2
A better USB-to-serial adapter with a built-in screen

Internal documents show Texas National Guard scrambling to find trained soldiers for protests (Bayliss Wagner/Austin American-Statesman)
https://www.statesman.com/story/news/politics/state/2025/06/13/internal-documents-show-texas-national-guard-scrambling-to-find-trained-soldiers-for-protests/84193242007/
http://www.memeorandum.com/250613/p149#a250613p149

I morgen kl 14 er der anti-Trump demo ved Democrats Abroad. Vi starter på Kgs Nytorv og går til den amerikanske ambassade. Min sŸde, amerikanske svigerinde er medarrangŸr (jeg er så stolt af hende!).
Kom og lad os sammen vise modstand mod det autokratiske regime i USA!
https://www.democratsabroad.org/cph_no_tyr…

No Tyrants Protest in Copenhagen
Democrats Abroad strives to provide Americans abroad a Democratic voice in our government and elect Democratic candidates by mobilizing the overseas vote.

Former Tennessee Volunteers football star Dont'e Thornton primed to make massive impact with Raiders https://www.sportingnews.com/us/nfl/news/former-tennessee-volunteers-football…

Is "Explore" now "Trending"?
I don't like that... I'm an Explorer, not someone who follows Trends.

Coolest part of this: it somehow escaped Dutch Elm Disease and they are gathering its seeds to propagate what *may* be naturally resistant genetics. https://flipboard.com/@cbcnews/top-stories-01r3k2ttz/-/a-CoiPb3nXRaK1lwOlyr7ZwA:a%3…

One of Toronto's oldest elm trees is on its last legs. Researchers are racing to re-grow copies
One of the largest old elm trees in Toronto — possibly in all of southern Ontario — is on its last legs. But as the city finalizes plans to take down …

Cowboys QBs continue practice jersey trend under Brian Schottenheimer https://www.si.com/nfl/cowboys/news/dallas-cowboys-qbs-practice-jersey-trend-under-brian-schottenheimer

CarbonSet: A Dataset to Analyze Trends and Benchmark the Sustainability of CPUs and GPUs
Jiajun Hu, Chetan Choppali Sudarshan, Vidya A. Chhabria, Aman Arora
https://arxiv.org/abs/2506.10373

CarbonSet: A Dataset to Analyze Trends and Benchmark the Sustainability of CPUs and GPUs
Over the years, the chip industry has consistently developed high-performance processors to address the increasing demands across diverse applications. However, the rapid expansion of chip production has significantly increased carbon emissions, raising critical concerns about environmental sustainability. While researchers have previously modeled the carbon footprint (CFP) at both system and processor levels, a holistic analysis of sustainability trends encompassing the entire chip lifecycle r…

Landauer Principle and Thermodynamics of Computation
Pritam Chattopadhyay, Avijit Misra, Tanmoy Pandit, Goutam Paul
https://arxiv.org/abs/2506.10876 https:…

Landauer Principle and Thermodynamics of Computation
According to the Landauer principle, any logically irreversible process accompanies entropy production, which results in heat dissipation in the environment. Erasing of information, one of the primary logically irreversible processes, has a lower bound on heat dissipated into the environment, called the Landauer bound (LB). However, the practical erasure processes dissipate much more heat than the LB. Recently, there have been a few experimental investigations to reach this bound both in the cl…

Going beyond density functional theory accuracy: Leveraging experimental data to refine pre-trained machine learning interatomic potentials
Shriya Gumber, Lorena Alzate-Vargas, Benjamin T. Nebgen, Arjen van Veelen, Smit Kadvani, Tammie Gibson, Richard Messerly
https://arxiv.org/abs/2506.10211

Going beyond density functional theory accuracy: Leveraging experimental data to refine pre-trained machine learning interatomic potentials
Machine learning interatomic potentials (MLIPs) are inherently limited by the accuracy of the training data, usually consisting of energies and forces obtained from quantum mechanical calculations, such as density functional theory (DFT). Since DFT itself is based on several approximations, MLIPs may inherit systematic errors that lead to discrepancies with experimental data. In this paper, we use a trajectory re-weighting technique to refine DFT pre-trained MLIPs to match the target experiment…