Science

As large language models gain agency, ensuring the stability and safety of their evolving memories becomes a critical challenge.

A new system leverages wearable technology and real-time data to understand and predict the emotional well-being of elderly individuals as they go about their daily lives.

A new framework empowers researchers to generate realistic time series data, including interventional data, for training more robust causal models.

A new approach leverages past solar wind events to refine probabilistic forecasts of speed at Earth, providing more accurate predictions and crucial uncertainty estimates.

A novel machine learning technique is helping cosmologists more accurately estimate the universe’s expansion rate by directly modeling the complex biases inherent in supernova observations.

A new architectural approach leverages semantic understanding, generative AI, and distributed intelligence to redefine network control and optimization.

Researchers are leveraging the power of language models and symbolic reasoning to identify and explain complex events within streams of data.

Researchers have developed a new multi-agent framework designed to embed ethical considerations, sustainability goals, and legal compliance directly into the core logic of autonomous AI systems.

New research suggests that increasing the intelligence of AI agents within a population doesn’t necessarily lead to improved outcomes, and can even be detrimental.

New research demonstrates the rapidly increasing ability of artificial intelligence to execute complex cyberattacks in simulated environments, raising critical questions about AI safety and cybersecurity.