Science

A new study explores the rising anxieties among future computer scientists about job security in an era of rapidly advancing artificial intelligence.

New research reveals a method for gauging how reliably we can forecast future trends from past data, before even building a predictive model.

A new assessment reveals uneven progress in machine translation capabilities, leaving vulnerable communities at risk during emergencies.

Researchers have developed a novel approach to time series forecasting that not only predicts future values but also rigorously quantifies the uncertainty surrounding those predictions.

New research demonstrates how applying control theory can dynamically stabilize the often-volatile token economies powering decentralized artificial intelligence networks.

Researchers have harnessed artificial intelligence to identify a key climate indicator for more accurate long-term rainfall forecasting in Thailand.

New research proposes a framework for urban antifragility, demonstrating that cities can not only withstand shocks but actively grow stronger through them.

A new large-scale study reveals that a significant portion of skills used by AI agents harbor security vulnerabilities that could lead to data breaches and unauthorized access.

A new framework proposes shifting AI safety from internal constraints to robust, external governance structures designed for complex multi-agent systems.

A new analysis categorizes potential future scenarios where humanity successfully navigates the risks of increasingly powerful artificial intelligence.