arXiv:2604.07748v1 Announce Type: new Abstract: Existing support vector machines(SVM) models are sensitive to noise and lack sparsity, which limits their performance. To address these issues, we combine the elastic net loss with a robust loss framework to construct a sparse $varepsilon$-insensitive bounded asymmetric elastic net loss, and integrate it with SVM to build $varepsilon$ Insensitive Zone Bounded Asymmetric Elastic Net Loss-based SVM($varepsilon$-BAEN-SVM). $varepsilon$-BAEN-SVM is both sparse and robust. Sparsity is proven by showing that samples inside the $varepsilon$-insensitive […]

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How are you, hacker? 🪐Want to know what’s trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## Governing and Scaling AI Agents: Operational Excellence and the Road Ahead By @denisp [ 23 Min read ] Success isn’t building the agent; it’s managing it. From “AgentOps” to ROI dashboards, here is the operational playbook for scaling Enterprise AI. Read More. The Seven […]

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The integration of real-time web technologies and Generative Artificial Intelligence (AI) into campus infrastructure is creating new paradigms for institutional resource management. In campus dining environments, traditional offline management leads to significant food waste, inefficient resource allocation, and delayed feedback loops. This survey reviews the transition from static Enterprise Resource Planning (ERP) systems to dynamic, AI-optimized ecosystems. We synthesize recent advancements in multiple core areas: (i) frictionless Role-Based Access Control (RBAC) using decentralized access codes, (ii) real-time data […]

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arXiv:2604.08570v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly used for code generation, yet quantum code generation is still evaluated mostly within single frameworks, making it difficult to separate quantum reasoning from framework familiarity. We introduce QuanBench+, a unified benchmark spanning Qiskit, PennyLane, and Cirq, with 42 aligned tasks covering quantum algorithms, gate decomposition, and state preparation. We evaluate models with executable functional tests, report Pass@1 and Pass@5, and use KL-divergence-based acceptance for probabilistic outputs. We […]

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arXiv:2602.20220v1 Announce Type: new Abstract: We investigate what specific design choices enable successful online reinforcement learning (RL) on physical robots. Across 100 real-world training runs on three distinct robotic platforms, we systematically ablate algorithmic, systems, and experimental decisions that are typically left implicit in prior work. We find that some widely used defaults can be harmful, while a set of robust, readily adopted design choices within standard RL practice yield stable learning across tasks and hardware. These results […]

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Introduction Disclaimer: This article is a cross post from Pytorch Medium Blog Post. One of the most exciting advancements, that has pushed the frontier of the Artificial Intelligence (AI) in recent years, is Deep Reinforcement Learning (DRL). DRL belongs to the family of machine learning algorithms. It assumes that intelligent machines can learn from their actions similar to the way humans learn from experience. Over the recent years we could witness some impressive real-world applications of DRL. The […]

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:::info Astounding Stories of Super-Science, March, 1932, by Astounding Stories is part of HackerNoon’s Book Blog Post series. Title: Astounding Stories of Super-Science, March, 1932 Author: Astounding Stories Release Date: Jul 4, 2009 [EBook #29310] Language: English ::: TABLE OF LINKS Off to the Rendezvous The Coming of Ku Sui The Wave of a Handkerchief Soil The Color-Storm Port o’ Porno The Coming of Leithgow Dr. Ku Shows His Claws The Brain Speaks In the Visi-Screen Trapped in the […]

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