Tootfinder

Interviews with Tim Cook, Apple's VP of industrial design Molly Anderson, and others about the design choices behind iPhone Air, cross-body straps, and more (Sam Schube/Wall Street Journal)
https://www.wsj.com/tech/apple-iphone-air-

Apple Watch: Gesamtverkäufe erreichen 100 Milliarden US-Dollar
Das einstige Nischenprodukt hat sich zum Großseller entwickelt: In zehn Jahren seit dem ersten Erscheinen wurde die Apple Watch für den Apple enorm lukrativ.

„Eigene Dummheit“ - Drei Kilo Haribo! Brite nach Naschanfall im Spital #News #Nachrichten

New Machine Learning Approaches for Intrusion Detection in ADS-B
Mika\"ela Ngambo\'e, Jean-Simon Marrocco, Jean-Yves Ouattara, Jos\'e M. Fernandez, Gabriela Nicolescu
https://arxiv.org/abs/2510.08333

New Machine Learning Approaches for Intrusion Detection in ADS-B
With the growing reliance on the vulnerable Automatic Dependent Surveillance-Broadcast (ADS-B) protocol in air traffic management (ATM), ensuring security is critical. This study investigates emerging machine learning models and training strategies to improve AI-based intrusion detection systems (IDS) for ADS-B. Focusing on ground-based ATM systems, we evaluate two deep learning IDS implementations: one using a transformer encoder and the other an extended Long Short-Term Memory (xLSTM) network…

🇺🇦 #NowPlaying on KEXP's #AfternoonShow
The Crystals:
🎵 Oh Yeah, Maybe Baby
#TheCrystals
https://fidelitymasters.bandcamp.com/track/the-crystals-oh-yeah-maybe-baby
https://open.spotify.com/track/6S9abWHnxN4pQDYLJXha5G

Tour 197: #Brandenburg: Internationaler #Kunstwanderweg Hoher Fläming - #Wiesenburg-Bad Belzig (2 Tage, 22 18 km)
Der Naturpark

Neuro-Spectral Architectures for Causal Physics-Informed Networks
Arthur Bizzi, Leonardo M. Moreira, M\'arcio Marques, Leonardo Mendon\c{c}a, Christian J\'unior de Oliveira, Vitor Balestro, Lucas dos Santos Fernandez, Daniel Yukimura, Pavel Petrov, Jo\~ao M. Pereira, Tiago Novello, Lucas Nissenbaum
https://arxiv.org/abs/2509.04966

Neuro-Spectral Architectures for Causal Physics-Informed Networks
Physics-Informed Neural Networks (PINNs) have emerged as a powerful neural framework for solving partial differential equations (PDEs). However, standard MLP-based PINNs often fail to converge when dealing with complex initial-value problems, leading to solutions that violate causality and suffer from a spectral bias towards low-frequency components. To address these issues, we introduce NeuSA (Neuro-Spectral Architectures), a novel class of PINNs inspired by classical spectral methods, designe…

🇺🇦 Auf radioeins läuft...
Shuggie Otis:
🎵 Strawberry Letter 23
#NowPlaying #ShuggieOtis
https://stpetersburg.bandcamp.com/track/shuggie-otis-strawberry-letter-23
https://open.spotify.com/track/2NXnBIYFPQPo7GSn3TEbpD

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Dubamine ft. Nazamba:
🎵 Cool & Relax
#DubamineftNazamba
https://dubamine.bandcamp.com/track/cool-relax-ft-nazamba
https://open.spotify.com/track/3jntNZjyiC3Hszr5u1ZGnn

🇺🇦 #NowPlaying on KEXP's #AfternoonShow
Fishbone:
🎵 Servitude
#Fishbone
https://open.spotify.com/track/1N0nisxz5mF0gE7k8rqNOU