The conversation about artificial intelligence typically orbits around model architecture, parameter counts, and ...

As organizations enter the next phase of AI maturity, IT leaders must step up to help turn promising pilots into scalable, ...

Abstract: This paper studies a hierarchical distributed model-free adaptive control issue for heterogeneous multiple high-speed trains with random deception attacks. By employing the dynamic ...

Is your feature request related to a problem? Please describe. For clusters like the Air Quality cluster, it seems the Air Quality attribute is not managed by the esp-matter data model, and instead ...

Aging bridges worldwide face growing safety challenges due to extended service life and environmental stressors. However, most existing studies lack a systemic perspective and mainly rely on ...

A startup called Ardent AI Labs Inc. says data engineering is the next major discipline in line for “agentic” automation after getting $2.15 million in a pre-seed funding round. The money comes from ...

This study proposes an important new approach to analyzing cell-count data, which are often undersampled and cannot be accurately assessed using traditional statistical methods. The case studies ...

Revised: This Reviewed Preprint has been revised by the authors in response to the previous round of peer review; the eLife assessment and the public reviews have been updated where necessary by the ...

We use S3 source with ClickHouse as engine, and Rill for visualization. This example demonstrates advanced data modeling strategies for real-time analytics using ClickHouse and Rill. We showcase how ...