Successful AI agents require enterprises to orchestrate interactions, manage shared knowledge and plan for failure.

This problem needs to be addressed promptly. In this paper, we provide a classification of the state-of-the-art of cloud solutions, and argue for the need for model-driven engineering techniques and ...

Abstract: Despite lively debate over the past decade on the benefits and drawbacks of model-driven engineering (MDE), there have been few industry-wide studies of MDE in practice. A new study that ...

Parsons' (PSN) acquisition-driven growth raises sustainability concerns, lagging margins and profitability, making it less ...

U.S. drone industry leaders shared how design simplicity, automation, and supply chain shifts are helping American ...

A Princeton professor and alumni contributors co-founded Sentient and raised $85 million to build an open, community-driven AI ecosystem featuring the “open, monetizable, and loyal” standard, global ...

As businesses seek to future-proof their operations, building automation-first companies has emerged as a non-negotiable ...

Student success is a shared institutional commitment. Increasingly diverse student populations, mounting mental health ...

The Digital Twin Testbed Program implements DTC's Composability Framework-utilizing the Business Maturity Model, Platform ...

FROM the most boring family saloon to super exciting single-seat sports cars, I’ve driven my fair share of cars, and it’s ...

Beyond performance and portability, its Apache 2.0 license offers a compelling proposition for commercial applications.

Simulation-driven engineering is no longer a niche capability; it is foundational to innovation and competitive advantage.