Tootfinder

SuperSONIC: Cloud-Native Infrastructure for ML Inferencing
Dmitry Kondratyev, Benedikt Riedel, Yuan-Tang Chou, Miles Cochran-Branson, Noah Paladino, David Schultz, Mia Liu, Javier Duarte, Philip Harris, Shih-Chieh Hsu
https://arxiv.org/abs/2506.20657

SuperSONIC: Cloud-Native Infrastructure for ML Inferencing
The increasing computational demand from growing data rates and complex machine learning (ML) algorithms in large-scale scientific experiments has driven the adoption of the Services for Optimized Network Inference on Coprocessors (SONIC) approach. SONIC accelerates ML inference by offloading it to local or remote coprocessors to optimize resource utilization. Leveraging its portability to different types of coprocessors, SONIC enhances data processing and model deployment efficiency for cuttin…

HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization
Benjamin Coriat, Eric Benhamou
https://arxiv.org/abs/2507.18560

HARLF: Hierarchical Reinforcement Learning and Lightweight LLM-Driven Sentiment Integration for Financial Portfolio Optimization
This paper presents a novel hierarchical framework for portfolio optimization, integrating lightweight Large Language Models (LLMs) with Deep Reinforcement Learning (DRL) to combine sentiment signals from financial news with traditional market indicators. Our three-tier architecture employs base RL agents to process hybrid data, meta-agents to aggregate their decisions, and a super-agent to merge decisions based on market data and sentiment analysis. Evaluated on data from 2018 to 2024, after t…

YouTube is like heroin because it pulls you in, hooks you, and slowly drains you. It is designed to be addictive and destructive, and that is exactly why it feels so hard to step away from it.
And yes, I know the excuse, maybe your favorite dealer has not set up shop on PeerTube. But that does not change the truth of the comparison.
PeerTube is like weed, it grows more naturally, it is gentler on you, and it still gives you a high without tearing apart your health and your lif…

For running my #HamRadio portable setup from solar power, I made a power distribution box. I didn't know where to stop, apparently, and now I have a beast that weighs 1.2kg. It has two isolated battery busses, each of which has an XT60M, PowerPole, and 5.5x2.1mm barrel connector to choose from, supporting the batteries I have and that friends might have. It has four other circuits that …

Very-low-field MRI scanners: from the ideal to the real permanent magnet array
Umberto Zanovello, Alessandro Arduino, Vittorio Basso, Luca Zilberti, Alessandro Sola, Andrea Agosto, Luca Toso, Oriano Bottauscio
https://arxiv.org/abs/2509.11762

Very-low-field MRI scanners: from the ideal to the real permanent magnet array
Very-low-field MRIs are becoming increasingly popular due to their portability and adaptability to different environments. They are being successfully used for various clinical applications, leading to a paradigm shift in the way imaging care is typically performed. The development of low-cost MRI scanner prototypes began a few years ago, with some interesting and promising open-source projects emerging in both hardware and software design. Using permanent magnets (PMs) to generate the static m…

Revisiting the maximum mass limit of strange stars in higher-order curvature-matter coupled gravity
Debadri Bhattacharjee, Pradip Kumar Chattopadhyay
https://arxiv.org/abs/2508.10524

Revisiting the maximum mass limit of strange stars in higher-order curvature-matter coupled gravity
We explore the maximum mass limit of strange stars within the framework of modified gravity described by $f(\tilde{R},T)=R+αR^{2}+2βT$, where $R$ is the Ricci scalar and $T$ denotes the trace of the energy-momentum tensor. The parameters $α$ and $β$ characterise the contributions from higher-order curvature terms and the coupling between matter and geometry, respectively. By deriving the Tolman-Oppenheimer-Volkoff equations from the modified field equations and applying the MIT bag model eq…

Quantum Executor: A Unified Interface for Quantum Computing
Giuseppe Bisicchia, Alessandro Bocci, Antonio Brogi
https://arxiv.org/abs/2507.07597 https://…

Quantum Executor: A Unified Interface for Quantum Computing
As quantum computing evolves from theoretical promise to practical deployment, the demand for robust, portable, and scalable tools for quantum software experimentation is growing. This paper introduces Quantum Executor, a backend-agnostic execution engine designed to orchestrate quantum experiments across heterogeneous platforms. Quantum Executor provides a declarative and modular interface that decouples experiment design from backend execution, enabling seamless interoperability and code reus…

New peertube video from a recent bike and hike. I didn't plan to record until I was quite into the trail.
I hope you enjoy some views with me.
https://video.franzgraf.de/w/qYzd2SGAcyjF7DnHSyxjz7

Norway's largest PTCG database, asked me to help update their community site branding with a new logo, a fresh new banner and a logo for the busy forum, PokéSnakk.
#design #illustration #portfolio #PTCG #branding

Machine Learning Enhanced Multi-Factor Quantitative Trading: A Cross-Sectional Portfolio Optimization Approach with Bias Correction
Yimin Du
https://arxiv.org/abs/2507.07107

Machine Learning Enhanced Multi-Factor Quantitative Trading: A Cross-Sectional Portfolio Optimization Approach with Bias Correction
This paper presents a comprehensive machine learning framework for quantitative trading that achieves superior risk-adjusted returns through systematic factor engineering, real-time computation optimization, and cross-sectional portfolio construction. Our approach integrates multi-factor alpha discovery with bias correction techniques, leveraging PyTorch-accelerated factor computation and advanced portfolio optimization. The system processes 500-1000 factors derived from open-source alpha101 ex…