Tootfinder

Raiders' Pete Carroll focused on winning, not trade deadline https://www.nfl.com/news/raiders-pete-carroll-focused-on-winning-not-trade-deadline

Forecasting Future DDoS Attacks Using Long Short Term Memory (LSTM) Model
Kong Mun Yeen, Rafidah Md Noor, Wahidah Md Shah, Aslinda Hassan, Muhammad Umair Munir
https://arxiv.org/abs/2509.02076

Forecasting Future DDoS Attacks Using Long Short Term Memory (LSTM) Model
This paper forecasts future Distributed Denial of Service (DDoS) attacks using deep learning models. Although several studies address forecasting DDoS attacks, they remain relatively limited compared to detection-focused research. By studying the current trends and forecasting based on newer and updated datasets, mitigation plans against the attacks can be planned and formulated. The methodology used in this research work conforms to the Cross Industry Standard Process for Data Mining (CRISP-DM…

Future of Privacy Forum Honors Julie Brill with Career Achievement Award
https://fpf.org/press-releases/future-of-privacy-forum-honors-julie-brill-with-career-achievement-award/
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"How a Teaching-Focused Institution Approaches AI Literacy"
https://katinamagazine.org/content/article/future-of-work/2025/ai-literacy-at-a-teaching-focused-institution
"At the Institute of Inner-City …

Why Gen X women can’t stop eating ultra-processed foods #nutrition

Why Gen X women can’t stop eating ultra-processed foods
Researchers found that middle-aged adults, especially women, are far more likely to be addicted to ultra-processed foods than older generations. Marketing of diet-focused processed foods in the 1980s may have played a major role. Food addiction was linked to poor health, weight issues, and social isolation, highlighting long-term risks. Experts warn that children today could face even higher addiction rates in the future.

Towards Understanding the Shape of Representations in Protein Language Models
Kosio Beshkov, Anders Malthe-S{\o}renssen
https://arxiv.org/abs/2509.24895 https://

Towards Understanding the Shape of Representations in Protein Language Models
While protein language models (PLMs) are one of the most promising avenues of research for future de novo protein design, the way in which they transform sequences to hidden representations, as well as the information encoded in such representations is yet to be fully understood. Several works have attempted to propose interpretability tools for PLMs, but they have focused on understanding how individual sequences are transformed by such models. Therefore, the way in which PLMs transform the wh…

""[…] one message came through clearly: as we move forward, we should take the opportunity to improve the [#Fedora packager workflow] model rather than simply replicate it. The conversation focused on three key areas: package ownership, artifact storage, and Packit integration.
[…]
Key takeaways include:
* A Shift to Merge Requests: There is strong momentum to make …

Cowboys' George Pickens reveals 1 important element in deciding long-term future https://www.sportingnews.com/us/nfl/dallas-cowboys/news/cowboys-george-pickens-reveals-1-important-elem…

Future of Privacy Forum Honors Julie Brill with Lifetime Achievement Award
https://fpf.org/press-releases/future-of-privacy-forum-honors-julie-brill-with-lifetime-achievement-award/
@…

From Stoplights to On-Ramps: A Comprehensive Set of Crash Rate Benchmarks for Freeway and Surface Street ADS Evaluation
John M. Scanlon, Timothy L McMurry, Yin-Hsiu Chen, Kristofer D. Kusano, Trent Victor
https://arxiv.org/abs/2508.19425

From Stoplights to On-Ramps: A Comprehensive Set of Crash Rate Benchmarks for Freeway and Surface Street ADS Evaluation
This paper presents crash rate benchmarks for evaluating US-based Automated Driving Systems (ADS) for multiple urban areas. The purpose of this study was to extend prior benchmarks focused only on surface streets to additionally capture freeway crash risk for future ADS safety performance assessments. Using publicly available police-reported crash and vehicle miles traveled (VMT) data, the methodology details the isolation of in-transport passenger vehicles, road type classification, and crash …

It is not wise to piss off your partners and allies.
The EU is starting an initiative to define an EU-specific technology stack. There is an impressive set of companies and organizations signing on. If you are a US technology firm you need to start tracking this and figure out a strategy. Caving in to autocrats has its downsides. More here:
https://…

Future of Privacy Forum Appoints Four New Members to Its Board of Directors 
https://fpf.org/press-releases/future-of-privacy-forum-appoints-four-new-members-to-its-board-of-directors/
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As NFL resumes international series, could an overseas Super Bowl be in the future? https://www.nytimes.com/athletic/6652017/2025/09/22/nfl-international-super-bowl-draft/

Generative World Modelling for Humanoids: 1X World Model Challenge Technical Report
Riccardo Mereu, Aidan Scannell, Yuxin Hou, Yi Zhao, Aditya Jitta, Antonio Dominguez, Luigi Acerbi, Amos Storkey, Paul Chang
https://arxiv.org/abs/2510.07092

Generative World Modelling for Humanoids: 1X World Model Challenge Technical Report
World models are a powerful paradigm in AI and robotics, enabling agents to reason about the future by predicting visual observations or compact latent states. The 1X World Model Challenge introduces an open-source benchmark of real-world humanoid interaction, with two complementary tracks: sampling, focused on forecasting future image frames, and compression, focused on predicting future discrete latent codes. For the sampling track, we adapt the video generation foundation model Wan-2.2 TI2V-…

High-Performance Statistical Computing (HPSC): Challenges, Opportunities, and Future Directions
Sameh Abdulah, Mary Lai O. Salvana, Ying Sun, David E. Keyes, Marc G. Genton
https://arxiv.org/abs/2508.04013

High-Performance Statistical Computing (HPSC): Challenges, Opportunities, and Future Directions
We recognize the emergence of a statistical computing community focused on working with large computing platforms and producing software and applications that exemplify high-performance statistical computing (HPSC). The statistical computing (SC) community develops software that is widely used across disciplines. However, it remains largely absent from the high-performance computing (HPC) landscape, particularly on platforms such as those featured on the Top500 or Green500 lists. Many disciplin…

System design and realisation towards optimising secure key bits in free space QKD
Pooja Chandravanshi, Jayanth Ramakrishnan, Tanya Sharma, Ayan Biswas, Ravindra P. Singh
https://arxiv.org/abs/2508.10458

System design and realisation towards optimising secure key bits in free space QKD
Quantum Key Distribution (QKD) is rapidly transitioning from cutting-edge laboratory research to real-world deployment in established communication networks. Although QKD promises future-proof security, practical challenges stil exist due to imperfections in physical devices. Many protocols offer strong security guarantees, but their implementation can be complex and difficult. To bridge this gap, we present a practical and systematic framework for implementing QKD, focused on the BB84 protocol…

Sustainability Assessment of Future Accelerators
C. Bloise, E. Cennini, J. Gutleber, W. Kaabi, A. Klumpp, P. Koppenburg, Y. Li, B. List, R. Losito, B. Mandelli, E. A. Nanni, N. Neufeld, T. Schoerner-Sadenius, B. Shepherd, V. Shiltsev, S. Stapnes, M. Titov, L. Ulrici, H. Wakeling
https://arxiv.org/abs/2509.11705

Sustainability Assessment of Future Accelerators
The Large Particle Physics Laboratory Directors Group (LDG) established the Working Group (WG) on the Sustainability Assessment of Future Accelerators in 2024 with the mandate to develop guidelines and a list of key parameters for the assessment of the sustainability of future accelerators in particle physics. While focused on accelerator projects, much of the work will also be relevant to other present and upcoming research infrastructures. The development and continuous update of such a frame…

Comparator Loss: An Ordinal Contrastive Loss to Derive a Severity Score for Speech-based Health Monitoring
Jacob J Webber, Oliver Watts, Lovisa Wihlborg, David Wheatley, Johnny Tam, Christine Weaver, Suvankar Pal, Siddharthan Chandran, Cassia Valentini-Botinhao
https://arxiv.org/abs/2509.17661

Comparator Loss: An Ordinal Contrastive Loss to Derive a Severity Score for Speech-based Health Monitoring
Monitoring the progression of neurodegenerative disease has important applications in the planning of treatment and the evaluation of future medications. Whereas much of the state-of-the-art in health monitoring from speech has been focused on classifying patients versus healthy controls, or predicting real-world health metrics, we propose here a novel measure of disease progression: the severity score. This score is derived from a model trained to minimize what we call the comparator loss. The…

Performance Analysis for Multi-User Holographic MIMO Downlink with Matched Filter Precoding
Gayathri Shekar, Saman Atapattu, Prathapasinghe Dharmawansa, Kandeepan Sithamparanathan
https://arxiv.org/abs/2510.04530

Performance Analysis for Multi-User Holographic MIMO Downlink with Matched Filter Precoding
Holographic MIMO (HMIMO) has emerged as a promising solution for future wireless systems by enabling ultra-dense, spatially continuous antenna deployments. While prior studies have primarily focused on electromagnetic (EM) modeling or simulation-based performance analysis, a rigorous communication-theoretic framework remains largely unexplored. This paper presents the first analytical performance study of a multi-user HMIMO downlink system with matched filter (MF) precoding - a low-complexity b…

Ravens' David Ojabo, finally healthy, focused on playing fast and 'free' in contract year https://www.nfl.com/news/ravens-david-ojabo-finally-healthy-playing-fast-free-contract-year