AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

To address the trade-off between accuracy and cross-city generalization in traffic flow estimation, a research team from The ...

Multi-electrode arrays (MEAs) provide a noninvasive interface with sub-millisecond temporal resolution and long-term, multi-site recordings, enabling ...

Shivik Labs is a deep-tech research and engineering unit dedicated to building foundational intelligence architectures.

Network-wide traffic flow, which represents the dynamic traffic volumes on each link of a road network, is fundamental to smart cities. However, the ...

A key lesson was to measure what matters. From the outset, we defined clear success metrics—latency reduction, resource efficiency and cost improvement.

Microsoft plans to translate the code of software products into the Rust language by 2030. The task will mainly be performed by artificial intelligence (AI) agents. This was announced on December 24 ...

Digital twins began as static digital models used primarily for visualization and design. The review shows that they have ...

Based on the previous works, this Review found two increasing trends: (1) Transformers and graph neural networks are often integrated as encoders and then combined with multiple pre-training tasks to ...