Although various frequency-domain models are developed to identify oscillation causes, the discrepancies between them are rarely studied. This study aims to clarify these discrepancies and provide ...

Work with the business team is essential to define requirements, identify relevant data, and fine-tune AI for success Integrating domain knowledge into AI models is like giving them a secret weapon ...

To address this, considering the complete control dynamics, this paper proposes an equivalent single machine (ESM) model of the droop-based DC power systems to reduce the complexity of the ...

LGBTIQA+ people need the same protections and freedoms as other Victorians.

A variety of linear models are available to represent common active electronic devices such as transistors and vacuum tubes. Devices operating under large-signal conditions often require nonlinear ...

Large behavior models (LBMs) are emerging as crucial for combining generative AI LLMs with ... [+] behavioral aspects that make AI robots that can walk and talk. In today’s column, I closely ...

Today’s best AI models, like OpenAI’s ChatGPT and Anthropic’s Claude, come with conditions: their creators control the terms on which they are accessed to prevent them being used in harmful ...

Diffusion models have emerged as a powerful approach in generative AI, producing state-of-the-art results in image, audio, and video generation. In this in-depth technical article, we'll explore how ...

A bounded context is a sub-system in a software architecture aligned to a part of the domain. It can be implemented as a microservice or a module ... Start by creating a list of of scenarios to model.

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