Science

New research reveals a fundamental architectural limitation in decoder-only models when it comes to complex causal reasoning and adapting to changing data.

A novel hashing-based approach dramatically accelerates the creation of sequence embeddings for COVID-19 spike proteins, offering a powerful tool for variant analysis.

Researchers have developed a method for training robots to operate safely in complex environments using only previously collected data.

Researchers are revealing how large language models store and retrieve information, paving the way for more efficient and interpretable AI.

New research reveals that AI systems designed to evaluate scientific work can be subtly manipulated, potentially undermining the rigor of peer review.

A new framework leverages decentralized resources and intelligent algorithms to dramatically improve data delivery in the evolving Web3 landscape.

A new approach to control barrier functions bypasses computationally expensive optimization, paving the way for faster and more efficient safety-critical control systems.

This review details a cloud-native system designed to enable privacy-preserving machine learning across distributed institutions, unlocking the potential of collaborative AI without compromising sensitive data.

This review explores how blockchain technology can streamline and secure financial settlements between service providers.

A new erasure coding scheme optimizes wide stripe storage systems for improved reliability and repair efficiency.