Tootfinder

So this is how it ends, not with a bang, but with six fingers holding a bacon icecream cone and only two r's in our strawberries.
But I can hear the blaring KA-CHING! KA-CHING! now.
G7 agrees to increase use of artificial intelligence in public sector | #CanPoli | thecanadianpressnews
https://www.thecanadianpressnews.ca/politics/g7-agrees-to-increase-use-of-artificial-intelligence-in-public-sector/article_7a49ae0e-d038-5387-bc65-9c4dfc7cd666.html

Boulevard, which provides business management software for the self-care sector, raised an $80M Series D led by JMI Equity at an ~$800M post-money valuation (Mary Ann Azevedo/Crunchbase News)
https://news.crunchbase.com/venture/saas-ai-scheduling-startup-boule…

Salon Software Platform Boulevard Nearly Doubles Valuation To $800M With $80M Series D
Los Angeles-based Boulevard, a business management software platform for self-care businesses, has raised $80 million in Series D funding led by JMI Equity, the company announced on Thursday.

Poco estš estafando Trump a sus seguidores para lo que se merecen https://appleinsider.com/articles/25/06/16/trump-mobile-will-take-on-iphone-17-in-september-with-a-made-in-us-gold-smartphone

Rapid mixing for Gibbs states within a logical sector: a dynamical view of self-correcting quantum memories
Thiago Bergamaschi, Reza Gheissari, Yunchao Liu
https://arxiv.org/abs/2507.10976

Rapid mixing for Gibbs states within a logical sector: a dynamical view of self-correcting quantum memories
Self-correcting quantum memories store logical quantum information for exponential time in thermal equilibrium at low temperatures. By definition, these systems are slow mixing. This raises the question of how the memory state, which we refer to as the Gibbs state within a logical sector, is created in the first place. In this paper, we show that for a broad class of self-correcting quantum memories on lattices with parity check redundancies, a quasi-local quantum Gibbs sampler rapidly conver…

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations
Shaun Shuster, Eyal Zaloof, Asaf Shabtai, Rami Puzis
https://arxiv.org/abs/2506.11635

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations
The continuous growth of the e-commerce industry attracts fraudsters who exploit stolen credit card details. Companies often investigate suspicious transactions in order to retain customer trust and address gaps in their fraud detection systems. However, analysts are overwhelmed with an enormous number of alerts from credit card transaction monitoring systems. Each alert investigation requires from the fraud analysts careful attention, specialized knowledge, and precise documentation of the out…

Feynman Integral Reduction using Syzygy-Constrained Symbolic Reduction Rules
Sid Smith, Mao Zeng
https://arxiv.org/abs/2507.11140 https://

Feynman Integral Reduction using Syzygy-Constrained Symbolic Reduction Rules
We present a new algorithm for integration-by-parts (IBP) reduction of Feynman integrals with high powers of numerators or propagators, a demanding computational step in evaluating multi-loop scattering amplitudes. The algorithm starts with solving syzygy equations in individual sectors to produce IBP operators that turn seed integrals into IBP equations without artificially raised propagator powers. The IBP operators are expressed in terms of index-shift operators and number operators. We perf…

Intelligent Automation for FDI Facilitation: Optimizing Tariff Exemption Processes with OCR And Large Language Models
Muhammad Sukri Bin Ramli
https://arxiv.org/abs/2506.12093

Intelligent Automation for FDI Facilitation: Optimizing Tariff Exemption Processes with OCR And Large Language Models
Tariff exemptions are fundamental to attracting Foreign Direct Investment (FDI) into the manufacturing sector, though the associated administrative processes present areas for optimization for both investing entities and the national tax authority. This paper proposes a conceptual framework to empower tax administration by leveraging a synergistic integration of Optical Character Recognition (OCR) and Large Language Model (LLM) technologies. The proposed system is designed to first utilize OCR …

Please share this upcoming cross-sector conference: “Thrive: United for Democracy and Global Action” (and the opportunity to get involved on the organizer team) with your community!
https://open.substack.com/pub/thriveedu/p/thrive-unite…

Thrive: United for Democracy and Global Action
Join Our Next Planning Meeting (July 15)

Quirk SUEP
David Curtin, Sascha Dreyer, Max Fust\'e Costa, Sarah Heim, Gregor Kasieczka, Louis Moureaux, David Rousso, David Shih, Manuel Sommerhalder
https://arxiv.org/abs/2506.11192

Quirk SUEP
We propose searching for physics beyond the Standard Model in the low-transverse-momentum tracks accompanying hard-scatter events at the LHC. TeV-scale resonances connected to a dark QCD sector could be enhanced by selecting events with anomalies in the track distributions. As a benchmark, a quirk model with microscopic string lengths is developed, including a setup for event simulation. For this model, strategies are presented to enhance the sensitivity compared to inclusive resonance searches…

Fermion masses and mixings in supersymmetric SO(10)
Shaikh Saad, Qaisar Shafi
https://arxiv.org/abs/2506.11806 https://arxiv.org/pdf/…

Fermion masses and mixings in supersymmetric SO(10)
We discuss the charged and neutral fermion masses and mixings in a supersymmetric SO(10) model with a minimal Higgs sector consisting of the multiplets $10_H$, $45_H$, and $16_H + \overline{16}_H$. In addition to the renormalizable Yukawa couplings involving the Higgs 10-plet, we include non-renormalizable Yukawa couplings, which are important for reproducing with good accuracy the observed masses and mixings in the quark and lepton sectors. We identify a preferred solution which is compatible …