Science

New research details a robust framework for predicting 5-year breast cancer outcomes by integrating diverse data sources and prioritizing equitable, reliable results.

A new framework, TiMi, combines the power of transformer networks with textual insights to dramatically improve the accuracy of predictions.

New research shows that combining the insights of prediction markets with large language models can significantly improve the accuracy of forecasting future events.

A new framework integrates blockchain consensus with federated learning to create a robust and trustworthy decentralized AI system.

Researchers have released a rigorously curated dataset designed to help detect fraudulent token projects before investors lose their funds.

Researchers are developing systems that combine personal knowledge graphs with large language models to proactively surface relevant information from a user’s past experiences.

Researchers are leveraging the power of formal logic to make cardiovascular risk assessments more transparent and understandable.

A new system leverages the power of language AI to quickly extract critical information from emergency documentation during disasters.

As communication shifts toward AI-driven semantic systems, traditional security measures are proving inadequate, demanding new defenses against evolving threats.

A new framework uses Bayesian inference to reconstruct network topology and forecast future connections from limited initial data.