Tootfinder

Optimierte Leonidas-Mikrowellenwaffe soll Drohnenelektronik noch besser grillen
Epirus hat die Mikrowellen-Drohnenabwehr Leonidas verbessert und etwa die Reichweite erhöht. Zwei der Waffensysteme werden nun für die U. S. Army produziert.

The Revolution Will Not Be Televised, But It Will Be Optimized (Presented in Beta)
"5) Conflict-Free Engagement
No shouting. Just push notifications: 'You may be complicit. Tap to learn more.'"
https://www.mcsweeneys.net/art…

The Revolution Will Not Be Televised, But It Will Be Optimized (Presented in Beta)
Gone are the days of storming the gates. In this new era of resistance, we A/B test the gates, analyze the bounce rate of our demands, and push our...

Free-Particle State Realized via Optimal Filtering in Optomechanics: Implications for Gravity-Induced Entanglement
Ryotaro Fukuzumi, Kosei Hatakeyama, Daisuke Miki, Kazuhiro Yamamoto
https://arxiv.org/abs/2508.14337

Free-Particle State Realized via Optimal Filtering in Optomechanics: Implications for Gravity-Induced Entanglement
We analyze the conditional quantum state of a mechanical mirror in an optomechanical system under continuous measurement, feedback control, and quantum filtering. Our study identifies a regime in which the mirror's momentum is squeezed beyond the standard quantum limit achievable through appropriate tuning of the homodyne detection angle. We show that in this regime, optimal filtering effectively realizes a free-particle-like state. Notably, when applied to a setup involving two optomechanical …

Mean field social optimization: feedback person-by-person optimality and the dynamic programming equation
Minyi Huang, Shuenn-Jyi Sheu, Li-Hsien Sun
https://arxiv.org/abs/2508.14236

Mean field social optimization: feedback person-by-person optimality and the dynamic programming equation
We consider mean field social optimization in nonlinear diffusion models. By dynamic programming with a representative agent employing cooperative optimizer selection, we derive a new Hamilton--Jacobi--Bellman (HJB) equation to be called the master equation of the value function. Under some regularity conditions, we establish $ε$-person-by-person optimality of the master equation-based control laws, which may be viewed as a necessary condition for nearly attaining the social optimum. A major c…

Improved particle swarm optimization algorithm: multi-target trajectory optimization for swarm drones
Minze Li, Wei Zhao, Ran Chen, Mingqiang Wei
https://arxiv.org/abs/2507.13647 …

Improved particle swarm optimization algorithm: multi-target trajectory optimization for swarm drones
Real-time trajectory planning for unmanned aerial vehicles (UAVs) in dynamic environments remains a key challenge due to high computational demands and the need for fast, adaptive responses. Traditional Particle Swarm Optimization (PSO) methods, while effective for offline planning, often struggle with premature convergence and latency in real-time scenarios. To overcome these limitations, we propose PE-PSO, an enhanced PSO-based online trajectory planner. The method introduces a persistent exp…

Order Optimal Regret Bounds for Sharpe Ratio Optimization in the Bandit Setting
Mohammad Taha Shah, Sabrina Khurshid, Gourab Ghatak
https://arxiv.org/abs/2508.13749 https://

Order Optimal Regret Bounds for Sharpe Ratio Optimization in the Bandit Setting
In this paper, we investigate the problem of sequential decision-making for Sharpe ratio (SR) maximization in a stochastic bandit setting. We focus on the Thompson Sampling (TS) algorithm, a Bayesian approach celebrated for its empirical performance and exploration efficiency, under the assumption of Gaussian rewards with unknown parameters. Unlike conventional bandit objectives focusing on maximizing cumulative reward, Sharpe ratio optimization instead introduces an inherent tradeoff between a…

NFL Hope-O-Meter: Are you optimistic about your team in 2025? https://www.nytimes.com/athletic/6553950/2025/08/21/nfl-hope-o-meter-team-optimism-2025/

heise | Leitfaden: Der optimale Massenspeicher für Ihre Anwendung
Ob SSD, Festplatte, USB-Stick, Thunderbolt-SSD oder Speicherkarte: Die c’t-Kaufberatung aus 2025 führt Sie zum passenden Datenträger.
https://…

A multi-strategy improved snake optimizer for three-dimensional UAV path planning and engineering problems
Genliang Li, Yaxin Cui, Jinyu Su
https://arxiv.org/abs/2507.14043

A multi-strategy improved snake optimizer for three-dimensional UAV path planning and engineering problems
Metaheuristic algorithms have gained widespread application across various fields owing to their ability to generate diverse solutions. One such algorithm is the Snake Optimizer (SO), a progressive optimization approach. However, SO suffers from the issues of slow convergence speed and susceptibility to local optima. In light of these shortcomings, we propose a novel Multi-strategy Improved Snake Optimizer (MISO). Firstly, we propose a new adaptive random disturbance strategy based on sine func…

In-Context Decision Making for Optimizing Complex AutoML Pipelines
Amir Rezaei Balef, Katharina Eggensperger
https://arxiv.org/abs/2508.13657 https://arxiv…

In-Context Decision Making for Optimizing Complex AutoML Pipelines
Combined Algorithm Selection and Hyperparameter Optimization (CASH) has been fundamental to traditional AutoML systems. However, with the advancements of pre-trained models, modern ML workflows go beyond hyperparameter optimization and often require fine-tuning, ensembling, and other adaptation techniques. While the core challenge of identifying the best-performing model for a downstream task remains, the increasing heterogeneity of ML pipelines demands novel AutoML approaches. This work extend…