April 2026

Real-time scheduling of large-scale electric vehicle (EV) charging stations is essential for improving service efficiency, operational profitability, and grid coordination. However, most existing studies formulate charging scheduling as a single-stage unified decision problem that jointly handles discrete service access and continuous power control. Such a formulation fails to capture the inherently hierarchical operating mechanism of large-scale charging stations and often suffers from limited interpretability, enlarged action spaces, and reduced scalability under stochastic arrivals, dynamic departures, and time-varying resource […]

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This position paper argues that delegated AI must be evaluated and governed by transaction closure, rather than mere task completion. Agent economies emerge when AI systems execute externally binding commitments—such as purchases, bookings, or procurement orders—on behalf of authorized principals. Safe delegation at this boundary requires environments that support bounded mandates, reversible lifecycle states, verifiable receipts, and contestable failures. While AI-native platforms rapidly advance action closure, mature super-app ecosystems and enterprise suites currently offer the clearest testbeds for […]

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AI agents are rapidly evolving from static models into dynamic, decision-making systems capable of acting independently. Whether used in trading, customer service, cybersecurity, or market intelligence, these agents rely on one critical element: data that is constantly refreshed, validated, and updated. Without this, even the most advanced AI agent becomes outdated, inaccurate, and ultimately ineffective. This is where continuously regenerating data pipelines come into play. These pipelines ensure that AI agents are not just trained once but are […]

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UAV-based crack inspection of port quay walls is promising for efficient infrastructure maintenance, but its practical deployment remains hindered by frequent false positives caused by debris, stains, and irregular surface textures. This study proposes a false-positive reduction framework for a crack inspection system based on aerial images acquired by a small general-purpose UAV. The proposed method introduces anomaly detection after object detection so that detected crack candidate regions are re-evaluated based on their deviation from the learned feature […]

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This study aims to construct a knowledge system on traditional Chinese medicinal materials centered on large language models and to evaluate the practical feasibility of controlled fine tuning (SFT) techniques within professional Traditional Chinese Medicine (TCM). The study adopts Biancang-Qwen2.5-7B-Instruct as the base model and employs a knowledge internalization strategy to reduce the reliance on external retrieval mechanisms, with supervised fine-tuning conducted using LoRA. The evaluation dataset consists of 1,751 text-only multiple-choice questions related to Chinese medicinal materials […]

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Let’s take a closer look at ‘Browsergate’: is LinkedIn really running the biggest corporate espionage initiative in modern history? The gatekeeper shall provide business users and third parties authorised by a business user, at their request, free of charge, with effective, high-quality, continuous and real-time access to, and use of, aggregated and non-aggregated data, including personal data, that is provided for or generated in the context of the use of the relevant core platform services. Digital Markets Act, […]

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AI is transforming software development, but the actual enterprise impact won’t come from how fast code is written—it’s how code quality is maintained at scale. Code can now be generated in seconds, yet making the code actually operate in production across thousands of interconnected services remains the hardest problem to solve. The new bottleneck isn’t speed, it’s context. For AI to generate code that will operate in a production environment, the prompter must articulate their intent clearly (a […]

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Welcome to HackerNoon’s Meet the Writer Interview series, where we learn a bit more about the contributors that have written some of our favorite stories. So let’s start! Tell us a bit about yourself. For example, name, profession, and personal interests. I’m an imaging system engineer focused on understanding how cameras actually work beyond individual components. My work sits at the intersection of optics, sensors, ISP pipelines, and system-level optimization. Instead of treating each block independently, I try […]

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