Science

As real-world data becomes increasingly scarce and expensive, researchers are turning to simulation and digital twins to generate the datasets needed to build robust and intelligent agents.

New research shows that machine learning can accurately assess the complexity of combinatorial auctions, enabling a hybrid approach that outperforms traditional algorithms.

A novel approach to financial modeling leverages information theory to create an idealized market framework for more accurate asset pricing and risk management.

A new framework combines the power of deep learning with explainable AI to not only detect network intrusions with greater accuracy, but also to provide security professionals with crucial insights into why those intrusions were flagged.

A novel framework leverages federated learning and voice augmentation to improve Alzheimer’s Disease detection through speech analysis, even with scarce patient data.

A new approach leverages the power of artificial intelligence to proactively identify faults and anomalies in electrical distribution systems.

As data privacy regulations tighten, ensuring AI systems truly ‘forget’ specific data is paramount, and this research proposes a new economic framework to verify compliance with machine unlearning requests.

A new wave of artificial intelligence is fundamentally altering search, with profound implications for the information we access and how we make decisions.

Researchers are leveraging the power of graph neural networks to decode the complex activity of simulated brain regions and reveal the underlying principles of neural computation.

A new generation of AI-powered research agents is dramatically improving the identification of promising drug assets worldwide.