Tootfinder

Filing: Strava voluntarily dismissed its patent lawsuit against Garmin, for allegedly infringing its heat map and segments features, just 21 days after filing (Ray Maker/DC Rainmaker)
https://www.dcrainmaker.com/2025/10/strava-drops-voluntarily-lawsuit-again…

Strava Voluntarily Drops Lawsuit Against Garmin
 Strava’s multifaceted legal (and social media) attack on Garmin was short-lived. Just 21 days after filing the original patent infringement case, alongside a Reddit post from their executive team attacking Garmin, the company has decided to dismiss the case

Probing Reheating in a Decaying Oscillatory Inflationary Model with Latest ACT Constraints
Li-Yang Chen, Rongrong Zha, Feng-Yi Zhang
https://arxiv.org/abs/2508.16538 https://

Probing Reheating in a Decaying Oscillatory Inflationary Model with Latest ACT Constraints
Recent observations from the Atacama Cosmology Telescope (ACT) indicate a moderate upward shift in the scalar spectral index $n_s$ compared to Planck $2018$, thereby placing tighter constraints on inflationary scenarios. Motivated by these results, we investigate a decaying oscillatory Inflationary model inspired by minimal no-scale supergravity, characterized by the potential $V(ϕ) = λϕ^{2n} \sin^2(l/ϕ^n)$. We perform a numerical analysis of the background dynamics and reheating process ac…

Federated Fine-tuning of SAM-Med3D for MRI-based Dementia Classification
Kaouther Mouheb, Marawan Elbatel, Janne Papma, Geert Jan Biessels, Jurgen Claassen, Huub Middelkoop, Barbara van Munster, Wiesje van der Flier, Inez Ramakers, Stefan Klein, Esther E. Bron
https://arxiv.org/abs/2508.21458

Federated Fine-tuning of SAM-Med3D for MRI-based Dementia Classification
While foundation models (FMs) offer strong potential for AI-based dementia diagnosis, their integration into federated learning (FL) systems remains underexplored. In this benchmarking study, we systematically evaluate the impact of key design choices: classification head architecture, fine-tuning strategy, and aggregation method, on the performance and efficiency of federated FM tuning using brain MRI data. Using a large multi-cohort dataset, we find that the architecture of the classification…