Tootfinder

Synthesizer: Synthetic Observables For Modern Astronomy
Will J. Roper, Christopher Lovell, Aswin Vijayan, Stephen Wilkins, Hollis Akins, Sabrina Berger, Connor Sant Fournier, Thomas Harvey, Kartheik Iyer, Marco Leonardi, Sophie Newman, Borja Pautasso, Ashley Perry, Louise Seeyave, Laura Sommovigo
https://arxiv.org/abs/2506.15811…

Synthesizer: Synthetic Observables For Modern Astronomy
Synthesizer is a fast, flexible, modular, and extensible Python package that empowers astronomers to turn theoretical galaxy models into realistic synthetic observations - including spectra, photometry, images, and spectral cubes - with a focus on interchangeable modelling assumptions. By offloading computationally intensive tasks to threaded C++ extensions, Synthesizer delivers both simplicity and speed, enabling rapid forward-modelling workflows without requiring users to manage low-level dat…

Accurate.

Modeling and Visualization Reasoning for Stakeholders in Education and Industry Integration Systems: Research on Structured Synthetic Dialogue Data Generation Based on NIST Standards
Wei Meng
https://arxiv.org/abs/2506.16952

Modeling and Visualization Reasoning for Stakeholders in Education and Industry Integration Systems: Research on Structured Synthetic Dialogue Data Generation Based on NIST Standards
This study addresses the structural complexity and semantic ambiguity in stakeholder interactions within the Education-Industry Integration (EII) system. The scarcity of real interview data, absence of structured variable modeling, and lack of interpretability in inference mechanisms have limited the analytical accuracy and policy responsiveness of EII research. To resolve these challenges, we propose a structural modeling paradigm based on the National Institute of Standards and Technology (NI…

The Atomic Beam Probe Synthetic Diagnostic and its Application in Fusion Plasmas
M\'aty\'as Aradi, D\'aniel I. R\'efy, Shimpei Futatani, Ors Asztalos, Mikl\'os Berta, Pavel H\'a\v{c}ek, Jaroslav Krbec, S\'andor Zoletnik, Gergo I. Pokol
https://arxiv.org/abs/2506.15812

The Atomic Beam Probe Synthetic Diagnostic and its Application in Fusion Plasmas
The Atomic Beam Probe was installed on the COMPASS tokamak in Prague as an extension of the Beam Emission Spectroscopy. The construction and installation of the diagnostic were preceded by conceptional design and measurements with a test detector. This development work was supported by a trajectory solver, written as a sequential code, called ABPIons, whose shortcomings were discovered early on. For further modeling, orders of magnitude larger numerical performance were required. Therefore, the…

J’aurais pu passer Š côté sans le voir, timidement juché sur le comptoir de la librairie, parmi d’autres petits ouvrages que l’on met Š la périphérie de nos yeux, juste avant de passer en caisse, comme les chewing-gums au supermarché.
Lire la suite sur le Sillon 🌊 https://sillon-fictionnel.club/post…

THANK YOU TIM

Arturia Intros Mix Drums ‘Transformative Drum Processor’ https://www.synthtopia.com/content/2025/06/13/arturia-intros-mix-dru…

Arturia Intros Mix Drums ‘Transformative Drum Processor’
Arturia let us know that they’ve introduced Mix Drums, a new audio effect that’s designed to “deliver present, impactful drums without the complexity.”

Proportional Sensitivity in Generative Adversarial Network (GAN)-Augmented Brain Tumor Classification Using Convolutional Neural Network
Mahin Montasir Afif, Abdullah Al Noman, K. M. Tahsin Kabir, Md. Mortuza Ahmmed, Md. Mostafizur Rahman, Mufti Mahmud, Md. Ashraful Babu
https://arxiv.org/abs/2506.17165

Proportional Sensitivity in Generative Adversarial Network (GAN)-Augmented Brain Tumor Classification Using Convolutional Neural Network
Generative Adversarial Networks (GAN) have shown potential in expanding limited medical imaging datasets. This study explores how different ratios of GAN-generated and real brain tumor MRI images impact the performance of a CNN in classifying healthy vs. tumorous scans. A DCGAN was used to create synthetic images which were mixed with real ones at various ratios to train a custom CNN. The CNN was then evaluated on a separate real-world test set. Our results indicate that the model maintains hig…

Norm! 😭
https://apnews.com/article/george-wendt-dies-55681263ea8b5bddaf1c89e8e9ba8cb1

'Cheers' star George Wendt dies
George Wendt, an actor with an Everyman charm who played the affable, beer-loving barfly Norm on the hit 1980s TV comedy “Cheers,” has died. He was 76. Wendt in later life crafted a stage career that took him to Broadway in “Art,” “Hairspray” and “Elf.” Despite a long career of roles onstage and on TV, it was as gentle and henpecked Norm Peterson on “Cheers” that he was most associated, earning six straight Emmy Award nominations for best supporting actor in a comedy series …

The Synthetic Mirror -- Synthetic Data at the Age of Agentic AI
Marcelle Momha
https://arxiv.org/abs/2506.13818 https://arxiv.org/pdf…

The Synthetic Mirror -- Synthetic Data at the Age of Agentic AI
Synthetic data, which is artificially generated and intelligently mimicking or supplementing the real-world data, is increasingly used. The proliferation of AI agents and the adoption of synthetic data create a synthetic mirror that conceptualizes a representation and potential distortion of reality, thus generating trust and accountability deficits. This paper explores the implications for privacy and policymaking stemming from synthetic data generation, and the urgent need for new policy inst…