Over the past few decades, robotics researchers have developed a wide range of increasingly advanced robots that can ...

Abstract: Increased reliance on automation and connectivity exposes transportation cyber-physical systems (CPS) to many cyber vulnerabilities. Existing threat modeling frameworks are often narrow in ...

Depiction of the 3D cubed-sphere discretization grid (low resolution) with a large mountain at the North Pole. The encircled grids show the quadrature points on a 3D cell used to perform mathematical ...

As Agentic AI continues to roll out across many functions in Communications Service Providers (CSPs), the Model Context Protocol (MCP) is poised to become a major topic in 2026. Introduced by ...

The PPC referral process was best understood as a dynamic system involving four primary agents: oncologists, interprofessional oncology teams, PPC teams, and the patient and family. Each agent's ...

Digital engineering and modeling and simulation (M&S) are transformative approaches that enable precision, efficiency and innovation in munitions production and warfighter capabilities. By integrating ...

Volvo CE designs smarter with model-based systems engineering (MBSE). By connecting requirements, models and field data into a single digital thread, they were able to reduce errors, accelerate ...

For decades, data centers were designed with permanence in mind: fixed plans, rigid shapes and predictable life cycles. Physical constraints of legacy architectures made them inherently static. But in ...

Jean-Charles Pelland's work has been made possible by financial support from the ‘QUANTA: Evolution of Cognitive Tools for Quantification’ project, which has received funding from the European ...

Code-oriented large language models moved from autocomplete to software engineering systems. In 2025, leading models must fix real GitHub issues, refactor multi-repo backends, write tests, and run as ...

The rapid growth of large-scale neuroscience datasets has spurred diverse modeling strategies, ranging from mechanistic models grounded in biophysics, to phenomenological descriptions of neural ...