AI Agents Take Control: The Future of Power Systems Engineering

As artificial intelligence evolves beyond simple automation, agentic systems are poised to reshape how we design, operate, and maintain the electrical grid.

As artificial intelligence evolves beyond simple automation, agentic systems are poised to reshape how we design, operate, and maintain the electrical grid.

Researchers have developed a new deep learning model to forecast post-discharge foot complications for diabetic patients, prioritizing both accuracy and the ability to understand why predictions are made.

Researchers have developed a novel system that uses advanced artificial intelligence to navigate the complexities of financial trading and optimize investment strategies.

New research reveals that sophisticated graph-based AI models are surprisingly susceptible to attacks that allow attackers to recreate their capabilities using only publicly available information.
New research demonstrates how optimal control techniques can be used to model and mitigate the spread of distress within complex financial networks.

Researchers have developed a novel model that understands financial transactions by treating them as natural language, unlocking insights from limited data.

Researchers have developed a new AI framework that leverages natural language understanding to improve the accuracy and interpretability of traffic forecasting, especially during unexpected events.

A new framework efficiently integrates personal and market data to deliver more relevant and personalized financial asset recommendations using large language models.

New research demonstrates how explainable AI is unlocking the ‘black box’ of wildfire prediction models to build greater trust in forecasts and improve disaster preparedness.

A new multi-agent system leverages large language models to forecast hazards and enhance safety protocols in complex operational settings.