Richard Zanibbi, professor in the Department of Computer Science, presented at the AI + Theoretical Physics Symposium at the Perimeter Institute for Theoretical Physics in Waterloo, Ontario. The ...

High energy physics experiments require data acquisition systems and detector technologies that can capture, process and manage unprecedented data volumes and fine ...

Artificial intelligence (AI) systems, particularly artificial neural networks, have proved to be highly promising tools for uncovering patterns in large amounts of data that would otherwise be ...

This Collection supports and amplifies research related to SDG3, SDG9 and SDG10. Physics-Informed Machine Learning (PI-ML) combines principles from physics- and biology-based modeling with data-driven ...

In a recent Views & Comments column published in Engineering, researchers Jinghai Li and Li Guo from the Chinese Academy of Sciences offer profound insights into the future development of data science ...

Researchers at Archetype AI have developed a foundational AI model capable of learning complex physics principles directly from sensor data, without any pre-programmed knowledge. This breakthrough ...

Data is the foundation of modern business strategy and the fuel for AI applications. It drives decision-making, optimizes operations, and creates personalized customer experiences, enabling businesses ...

As state and local governments adjust to the ramifications of the 2025 fiscal year, they’ll need to balance budgetary concerns with the ability to deliver exceptional citizen services. The ability to ...

Alarum Technologies saw a 50% increase in cash and quarterly net revenue in Q1 2024 compared to December 2023. The company operates in a market with a 29% CAGR and recently launched a new Web ...