Big Data, Fast Decisions: Real-Time Machine Learning to Accelerate Scientific Discovery

In the era of big data, the ability to make rapid, data-driven decisions is transforming scientific research across disciplines. At the forefront of this revolution is fast machine learning, which enables real-time insights at unprecedented scales. This talk will explore cutting-edge techniques in fast machine learning for high-energy physics, focusing on real-time data processing and decision-making. I will discuss the integration of AI at the edge, recent advancements in algorithms, and how these innovations are accelerating discovery in fundamental physics. From identifying rare events to optimizing complex systems, fast machine learning is pushing the boundaries of what is possible in scientific exploration.