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

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

Abstract: Traditional optimization-based techniques for time-synchronized state estimation (SE) often suffer from high online computational burden, limited phasor measurement unit (PMU) coverage, and ...

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

Others leverage AI to monitor customer journeys, identify pain points, and provide seamless virtual assistance. These ...

Taken together, these signals suggest one thing: we may be closer to AGI—and to systems capable of passing the Turing ...

Designers are utilizing an array of programmable or configurable ICs to keep pace with rapidly changing technology and AI.

Resolve AI Inc., a startup with a platform that helps companies fix issues in their technology infrastructure, has reportedly ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Objective: Alzheimer’s disease (AD) is mainly identified by cognitive function deterioration. Diagnosing AD at early stages poses significant challenges for both researchers and healthcare ...

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

Abstract: Graph Neural Networks (GNNs) have emerged as a promising solution for few-shot hyperspectral image (HSI) classification. However, existing GNN-based approaches face critical limitations in ...