Tootfinder

It's not just the English Channel / La Manche.
28 deaths a day as people try to reach Spanish Canary Islands by raft or open boat.
8 drowned in the harbour on arrival yesterday when theit boat capsized.
Again. Migration by boats will continue until a) source countries get just trade, reparations and an end to neocolonialism, and meanwhile,
b) #SafeRoutes
9.757 perso…

9.757 personas fallecieron en pateras o cayucos que trataban de llegar a Canarias en 2024: 28 muertes al día
Son los datos del balance anual que realiza la ONG Caminando Fronteras con su informe 'Monitoreo Derecho a la Vida' y que suponen un aumento del 62,4% frente a las cifras del año pasado

Future Impact of Quantum Computing on the Computational Landscape of Power Electronics: A Short Tutorial
Nikolaos G. Paterakis, Petros Karamanakos, Corey O'Meara, Georgios Papafotiou
https://arxiv.org/abs/2507.02577

Future Impact of Quantum Computing on the Computational Landscape of Power Electronics: A Short Tutorial
Quantum computing is emerging as a promising technology for solving complex optimization problems that arise in various engineering fields, and therefore has the potential to also significantly impact power electronics applications. This paper offers a concise tutorial on fundamental concepts in quantum computing, serving as both an introduction to the field and a bridge to its potential applications in power electronics. As a first step in this direction, the use of quantum computing for solvi…

Arbitrage Tactics in the Local Markets via Hierarchical Multi-agent Reinforcement Learning
Haoyang Zhang, Mina Montazeri, Philipp Heer, Koen Kok, Nikolaos G. Paterakis
https://arxiv.org/abs/2507.16479

Arbitrage Tactics in the Local Markets via Hierarchical Multi-agent Reinforcement Learning
Strategic bidding tactics employed by prosumers in local markets, including the Local Electricity Market (LEM) and Local Flexibility Market (LFM), have attracted significant attention due to their potential to enhance economic benefits for market participants through optimized energy management and bidding. While existing research has explored strategic bidding in a single market with multi-agent reinforcement learning (MARL) algorithms, arbitrage opportunities across local markets remain unexp…