Tootfinder

Network-Optimised Spiking Neural Network (NOS) Scheduling for 6G O-RAN: Spectral Margin and Delay-Tail Control
Muhammad Bilal, Xiaolong Xu
https://arxiv.org/abs/2510.11291 https…

Network-Optimised Spiking Neural Network (NOS) Scheduling for 6G O-RAN: Spectral Margin and Delay-Tail Control
This work presents a Network-Optimised Spiking (NOS) delay-aware scheduler for 6G radio access. The scheme couples a bounded two-state kernel to a clique-feasible proportional-fair (PF) grant head: the excitability state acts as a finite-buffer proxy, the recovery state suppresses repeated grants, and neighbour pressure is injected along the interference graph via delayed spikes. A small-signal analysis yields a delay-dependent threshold $k_\star(Δ)$ and a spectral margin $δ= k_\star(Δ) - gH…

The chemodynamical memory of a major merger in a NIHAO-UHD Milky Way analogue I: A golden thread through time and space
Sven Buder, Tobias Buck, \'Asa Sk\'ulad\'ottir, Melissa Ness, Madeleine McKenzie, Stephanie Monty
https://arxiv.org/abs/2510.11284

The chemodynamical memory of a major merger in a NIHAO-UHD Milky Way analogue I: A golden thread through time and space
Understanding how the Milky Way's present-day structure was shaped by past major mergers is a key goal of Galactic archaeology. The chemical and dynamical structure of the Galaxy retains the imprint of such events, including a major accretion episode around 8-10 Gyr ago. Recent findings suggest that present-day orbital energy correlates with stellar chemistry and birth location within the merging progenitor galaxy. Using a high-resolution NIHAO-UHD cosmological zoom-in simulation of a Milky Way…

A hierarchical entropy method for the delocalization of bias in high-dimensional Langevin Monte Carlo
Daniel Lacker, Fuzhong Zhou
https://arxiv.org/abs/2509.08619 https://

A hierarchical entropy method for the delocalization of bias in high-dimensional Langevin Monte Carlo
The unadjusted Langevin algorithm is widely used for sampling from complex high-dimensional distributions. It is well known to be biased, with the bias typically scaling linearly with the dimension when measured in squared Wasserstein distance. However, the recent paper of Chen et al. (2024) identifies an intriguing new delocalization effect: For a class of distributions with sparse interactions, the bias between low-dimensional marginals scales only with the lower dimension, not the full dimen…

Docs: Oracle generated ~$900M from its Nvidia cloud server rental business, with a $125M gross profit, or a 14% margin, vs. its ~70% overall gross profit margin (The Information)
https://www.theinformation.com/articles/internal-oracl…

Internal Oracle Data Show Financial Challenge of Renting Out Nvidia Chips
Oracle became the best-performing megacap stock of 2025 after its executives said last month that the once-sleepy database firm will generate an astonishing $381 billion in revenue from renting out specialized cloud servers to OpenAI and other artificial intelligence developers over the next ...

Good night all! 💤
#WristCheck (kinda)

6G Resilience -- White Paper
Hirley Alves, Nurul H. Mahmood, Onel L. A. L\'opez, Sumudu Samarakoon, Seppo Yrj\"ol\"a, Matti Latva-Aho, Markku Juntti, Ari Pouttu, Armin Dekorsy, Arthur Sousa de Sena, Aydin Sezgin, Bho Matthiesen, Chafika Benzaid, Chathuranga Weeraddana, David Hutchison, Dileepa Marasinghe, Doganalp Ergenc, Eduard Jorswieck, Erkki Harjula, Falko Dressler, Harri Saarnisaari, Italo Atzeni, Jaap Van De Beek, Jacek Rak, Konstantin Mikhaylov, Lauri Loven, Madhus…

6G Resilience -- White Paper
6G must be designed to withstand, adapt to, and evolve amid prolonged, complex disruptions. Mobile networks' shift from efficiency-first to sustainability-aware has motivated this white paper to assert that resilience is a primary design goal, alongside sustainability and efficiency, encompassing technology, architecture, and economics. We promote resilience by analysing dependencies between mobile networks and other critical systems, such as energy, transport, and emergency services, and illus…

EPT Benchmark: Evaluation of Persian Trustworthiness in Large Language Models
Mohammad Reza Mirbagheri, Mohammad Mahdi Mirkamali, Zahra Motoshaker Arani, Ali Javeri, Amir Mahdi Sadeghzadeh, Rasool Jalili
https://arxiv.org/abs/2509.06838

EPT Benchmark: Evaluation of Persian Trustworthiness in Large Language Models
Large Language Models (LLMs), trained on extensive datasets using advanced deep learning architectures, have demonstrated remarkable performance across a wide range of language tasks, becoming a cornerstone of modern AI technologies. However, ensuring their trustworthiness remains a critical challenge, as reliability is essential not only for accurate performance but also for upholding ethical, cultural, and social values. Careful alignment of training data and culturally grounded evaluation cr…

Ho un point assez intéressant sur les startups
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J’ai fondé trois startups, la première en France. Ceux qui pensent que c’est plus facile aux US se trompent, de beaucoup.
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Jamais la France ou être français n'a été un frein. Jamais être européen n'a été autre chose qu'une chance ! J'ai créé des boîtes et des filiales de boîtes dans 12 pays incluant des puissances… | Frederic Lasnier | 56 commentaires
Jamais la France ou être français n'a été un frein. Jamais être européen n'a été autre chose qu'une chance ! J'ai créé des boîtes et des filiales de boîtes dans 12 pays incluant des puissances majeures (USA,UK, Allemagne) et des puissances émergentes (Vietnam, Mexique, Roumanie, Maroc...). J'ai dirigé, jusqu'en 2023, une boîte française qui comptait près de 1500 sublimes collaborateurs dans le monde et nous l'avons vendue à une entreprise cotée au NYSE. J'ai investi dans …

Sam Altman says ChatGPT has reached 800M weekly active users, 4M developers "have built with OpenAI", and OpenAI processes over 6B tokens per minute on its API (Rebecca Bellan/TechCrunch)
https://techcrunch.com/2025/10/06/sam-altman-says-…

Sam Altman says ChatGPT has hit 800M weekly active users  | TechCrunch
OpenAI CEO Sam Altman said Monday at Dev Day that ChatGPT has reached 800 million weekly active users, marking an increase of adoption among consumers, developers, enterprises, and governments.