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Education#Artificial Intelligence📝 BlogAnalyzed: Jan 3, 2026 06:22

G検定 Study: Chapter 2

Published:Jan 3, 2026 06:19
1 min read
Qiita AI

Analysis

The article is a study guide for the G検定 exam, specifically focusing on Chapter 2 which covers trends in AI. It provides a quick reference for search and inference algorithms like DFS, BFS, and MCTS.
Reference

“Chapter 2. Trends in Artificial Intelligence”

PermalinkQiita AI
Research Paper#Control Theory, Gaussian Processes, Safety🔬 ResearchAnalyzed: Jan 3, 2026 17:11

Energy-Aware Bayesian Control for Safe Dynamical Systems

Published:Dec 30, 2025 22:24
1 min read
ArXiv

Analysis

This paper addresses the critical problem of safe control for dynamical systems, particularly those modeled with Gaussian Processes (GPs). The focus on energy constraints, especially relevant for mechanical and port-Hamiltonian systems, is a significant contribution. The development of Energy-Aware Bayesian Control Barrier Functions (EB-CBFs) provides a novel approach to incorporating probabilistic safety guarantees within a control framework. The use of GP posteriors for the Hamiltonian and vector field is a key innovation, allowing for a more informed and robust safety filter. The numerical simulations on a mass-spring system validate the effectiveness of the proposed method.
Reference

“The paper introduces Energy-Aware Bayesian-CBFs (EB-CBFs) that construct conservative energy-based barriers directly from the Hamiltonian and vector-field posteriors, yielding safety filters that minimally modify a nominal controller while providing probabilistic energy safety guarantees.”

PermalinkArXiv
Research Paper#Robotics, Control Systems, Marine Vessels🔬 ResearchAnalyzed: Jan 3, 2026 15:41

Safe Sliding Mode Control for Marine Vessels with HOCBFs and Fast Projection

Published:Dec 30, 2025 15:10
1 min read
ArXiv

Analysis

This paper addresses the critical challenge of safe and robust control for marine vessels, particularly in the presence of environmental disturbances. The integration of Sliding Mode Control (SMC) for robustness, High-Order Control Barrier Functions (HOCBFs) for safety constraints, and a fast projection method for computational efficiency is a significant contribution. The focus on over-actuated vessels and the demonstration of real-time suitability are particularly relevant for practical applications. The paper's emphasis on computational efficiency makes it suitable for resource-constrained platforms, which is a key advantage.
Reference

“The SMC-HOCBF framework constitutes a strong candidate for safety-critical control for small marine robots and surface vessels with limited onboard computational resources.”

PermalinkArXiv
Research#BFS🔬 ResearchAnalyzed: Jan 10, 2026 07:14

BLEST: Accelerating Breadth-First Search with Tensor Cores

Published:Dec 26, 2025 10:30
1 min read
ArXiv

Analysis

This research paper introduces BLEST, a novel approach to significantly speed up Breadth-First Search (BFS) algorithms using tensor cores. The authors likely demonstrate impressive performance gains compared to existing methods, potentially impacting various graph-based applications.
Reference

“BLEST leverages tensor cores for efficient BFS.”

PermalinkArXiv
Technology#AI Hardware🏛️ OfficialAnalyzed: Jan 3, 2026 06:35

NVIDIA H100 GPUs on CoreWeave’s AI Cloud Platform Achieve Record-Breaking Graph500 Run

Published:Dec 10, 2025 20:56
1 min read
NVIDIA AI

Analysis

The article highlights a significant achievement in graph processing performance using NVIDIA H100 GPUs on CoreWeave's AI cloud platform. The record-breaking benchmark result of 410 trillion traversed edges per second (TEPS) demonstrates the power of accelerated computing for large-scale graph analysis. The focus is on the performance of a commercially available cluster, emphasizing accessibility and practical application.
Reference

“NVIDIA announced a record-breaking benchmark result of 410 trillion traversed edges per second (TEPS), ranking No. 1 on the 31st Graph500 breadth-first search (BFS) list.”

PermalinkNVIDIA AI