This study introduces a quantum-inspired framework for high-dimensional feature compression by encoding data pairs as parameters in a two-site spin-Hamiltonian system. Unlike traditional manifold learning techniques that suffer from “neighborhood tearing” at extreme compression ratios [1,2,5], the proposed method utilizes a ground-state solver to stabilize local topological structures. We evaluate the method’s performance across a gradient of 512 to 1 dimension using information-theoretic and ordinal metrics. Our results demonstrate a fundamental Dual-Phase behavior: (i) a High-Fidelity Spin Phase […]

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arXiv:2601.03413v1 Announce Type: new Abstract: This study highlights the potential of image-based reinforcement learning methods for addressing swarm-related tasks. In multi-agent reinforcement learning, effective policy learning depends on how agents sense, interpret, and process inputs. Traditional approaches often rely on handcrafted feature extraction or raw vector-based representations, which limit the scalability and efficiency of learned policies concerning input order and size. In this work we propose an image-based reinforcement learning method for decentralized control of a multi-agent system, […]

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Preliminaries Basic machine learning concepts Probability Theory concepts expectation correlated random variable Analysis of Committees1 The committee is a native inspiration for how to combine several models(or we can say how to combine the outputs of several models). For example, we can combine all the models by: [ y_{COM}(X)=frac{1}{M}sum_{m=1}^My_m(X)tag{1} ] Then we want to find out whether this average prediction of models is better than every one of them.

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arXiv:2601.08052v1 Announce Type: new Abstract: Dairy farming is an energy intensive sector that relies heavily on grid electricity. With increasing renewable energy integration, sustainable energy management has become essential for reducing grid dependence and supporting the United Nations Sustainable Development Goal 7 on affordable and clean energy. However, the intermittent nature of renewables poses challenges in balancing supply and demand in real time. Intelligent load scheduling is therefore crucial to minimize operational costs while maintaining reliability. Reinforcement Learning […]

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arXiv:2601.02365v1 Announce Type: new Abstract: Multimodal creative assistants decompose user goals and route tasks to subagents for layout, styling, retrieval, and generation. Retrieval quality is pivotal, yet failures can arise at several stages: understanding user intent, choosing content types, finding candidates (recall), or ranking results. Meanwhile, sending and processing images is costly, making naive multimodal approaches impractical. We present FUSE: Failure-aware Usage of Subagent Evidence for MultiModal Search and Recommendation. FUSE replaces most raw-image prompting with a compact […]

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In this blog post, we will provide insights into the website deployment workflow developed during our collaboration with Runtime Verification. Our collaboration focused on creating nix-based deployment workflow for small websites associated with Runtime Verification projects, including: Kontrol: developer tooling for formal verification of smart contracts written in solodity. ERCx: developer tooling for ERC token testing. Firefly: developer tooling for Ethereum smart contract testing. We will walk through a simple example that showcases all the key features of […]

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CSS usually doesn’t fail right away. It fails a year later, when the system is under real use and changing anything feels risky. Styles start to feel heavy. You open DevTools, jump through rules, and try to understand why something works the way it does. Refactoring feels mentally taxing and time consuming so you add another override just to make the ticket go away. Bad CSS isn’t just ugly, it’s expensive. It’s the reason simple UI updates take […]

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arXiv:2601.02504v1 Announce Type: new Abstract: Debugging is a crucial skill in programming education and software development, yet it is often overlooked in CS curricula. To address this, we introduce an AI-powered debugging assistant integrated into an IDE. It offers real-time support by analyzing code, suggesting breakpoints, and providing contextual hints. Using RAG with LLMs, program slicing, and custom heuristics, it enhances efficiency by minimizing LLM calls and improving accuracy. A three-level evaluation – technical analysis, UX study, and […]

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Conversational chat bots such as ChatGPT probably will not be able replace traditional search engines and expert knowledge anytime soon. With the vast amount of misinformation available on the internet, the ability to distinguish between credible and unreliable sources remains challenging and crucial.

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