This case study demonstrates the deep collaborative capability of the PERA intelligent solution with traditional CAE tools ...

Intelligent agriculture requires precise, real-time control of diverse systems ranging from greenhouse climates to autonomous ...

In the context of the continuous evolution of Internet of Things (IoT) technology, Shandong Inspur Intelligent Manufacturing Technology Co., Ltd. applied for a patent in July 2025 titled "Real-Time ...

A French–Moroccan research group has developed a two-stage hierarchical techno-economic model to optimize AC multi-bus microgrids in remote areas. This microgrid configuration is more complex than ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, introduced a significant development—Multi-Class Quantum Convolutional Neural Network (Quantum ...

Traditional EDA tools rely on heuristics and static algorithms, which struggle to scale with modern design complexity. AI introduces a data-driven, adaptive approach, capable of learning from vast ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

Optuna v4.5的GPSampler约束多目标优化功能确实是个不错的更新。C2-DTLZ2基准测试证明了几点：减少了不可行区域的无效评估，可行超体积收敛比TPESampler和NSGAIISampler都快。

The rapid global shift toward low-carbon, intelligent energy systems has fueled the widespread adoption of distributed renewable energy resources (RES), ...

A (NRL) research team successfully conducted the first reinforcement learning (RL) control of a free-flyer in space on May 27 ...

Learn how agentic AI design principles like error handling and adaptive learning can transform AI into a dynamic ...