Science

A new graph-based framework, kkNN-Graph, dramatically accelerates k-Nearest Neighbors classification by pre-computing decision boundaries and leveraging hierarchical indexing.

A new taxonomy aims to systematically categorize and address the ethical and security risks posed by increasingly sophisticated artificial intelligence systems.

A new statistical approach offers improved methods for understanding how volatility spreads between multiple financial time series.

A new system uses artificial intelligence to deliver real-time patent recommendations, keeping financial technology innovators ahead of the curve.

New research shows that large language models, combined with a clever data retrieval technique, can accurately forecast which startups are likely to thrive, even with limited information.

As complex tasks are increasingly delegated to teams of AI agents, understanding and addressing the reasons for their failures is critical for building dependable systems.

New research reveals how safety mechanisms are encoded within large language models and demonstrates a method to pinpoint and manipulate the specific components responsible for preventing harmful outputs.

A new analysis of waveform data reveals a pattern of low-magnitude earthquakes in the Kamchatka Peninsula leading up to a significant seismic event.

New research demonstrates a method for improving the reliability of AI agents by transforming failed actions into valuable learning opportunities.

A new approach to modeling spiking neural networks using hypergraphs promises to dramatically improve how these networks are deployed on specialized neuromorphic hardware.