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heise | Python-Grundlagen: Wie Sie for-Schleifen richtig einsetzen
for-Schleifen gehören zu den grundlegenden Konzepten in der Programmierung. Richtig eingesetzt sparen sie sehr viele Codezeilen.
h…

Just published 🚀: Solving for the last mile
#artificialintelligence

🇺🇦 #NowPlaying on KEXP's #Roadhouse
Little Richard:
🎵 Slippin' and Slidin'
#LittleRichard
https://leghornstringband.bandcamp.com/track/slippin-and-slidin-little-richard
https://open.spotify.com/track/6arCxORPzesuC7tlWxZLlj

aus der reihe "die wissenschaft hat festgestellt" heute: "#Katzen schlafen am liebsten auf der linken Seite" https://ne…

Nützliches Feature: AirPods und Beats-Stöpsel legen sich schlafen
Mit iOS 26 kann man festlegen, dass verschiedene beliebte Ohrhörer von Apple und Beats erkennen, wenn man einpennt. Dann geht es automatisch auf Pause.

We have booked a stay in a self-catering cottage in Gloucestershire for a week over the summer. We've just been sent the welcome pack and it reads a little bit like solving an old school adventure game.
There is a keysafe at the cottage - located on the left pillar of the porch when you walk up the path. The key safe code is XXXX.
Use the small key in here to open the wooden box on your left as you walk in to the porch. Inside that you will find a large key which is for the main door.
Please make sure you leave this key in the wooden box on your departure as this is the only key to the property.

On Solving the Assignment Problem with Conflicts
Roberto Montemanni, Derek H. Smith
https://arxiv.org/abs/2506.04274 https://arxiv.or…

On Solving the Assignment Problem with Conflicts
A variant of the well-known Assignment Problem is studied in this paper, where pairs of assignments are conflicting, and cannot be selected at the same time. This configures a set of hard constraints. The problem, which models real applications, looks for a complete assignment that minimizes the total cost, while no conflict is violated. In this paper, we consider a previously known mixed integer linear program representing the problem and we solve it with the open-source solver CP-SAT, part of…

Was Residual Penalty and Neural Operators All We Needed for Solving Optimal Control Problems?
Oliver G. S. Lundqvist, Fabricio Oliveira
https://arxiv.org/abs/2506.04742

Was Residual Penalty and Neural Operators All We Needed for Solving Optimal Control Problems?
Neural networks have been used to solve optimal control problems, typically by training neural networks using a combined loss function that considers data, differential equation residuals, and objective costs. We show that including cost functions in the training process is unnecessary, advocating for a simpler architecture and streamlined approach by decoupling the optimal control problem from the training process. Thus, our work shows that a simple neural operator architecture, such as DeepON…

🇺🇦 #NowPlaying on KEXP's #EasternEchoes
Shelby Natasha:
🎵 Salmon Song
#ShelbyNatasha
https://shelbynatasha.bandcamp.com/track/salmon-song
https://open.spotify.com/track/4A8IgG7YxmP96L7Rnmv1Z9

heise | heise Update vom 4. Juli 2025: Lesetipps zum Wochenende
Der Newsletter von heise : Arzttermin-Scraper, Klimaanlagen-Guide, Schlüsselfinder, Donkey Kong und Bier-Reportage.
https://www.