Science

New research reveals that Large Language Models can misinterpret common emoticons as executable code, creating serious security vulnerabilities in automated systems and agentic AI applications.

Researchers have developed an advanced AI agent and benchmarking framework to deliver more accurate and insightful evaluations of environmental, social, and governance factors.

New research suggests that security breaches in decentralized finance aren’t always a threat to traditional markets, and may, surprisingly, channel liquidity into short-term funding.

Researchers have developed a rigorous testing ground to assess the vulnerabilities of artificial intelligence systems operating in complex financial markets.

A new analysis reveals how evolving dependencies between decentralized finance protocols, not just individual asset volatility, drive systemic vulnerability.

New statistical methods offer a way to continuously monitor forecasts of systemic risk, flagging potential inaccuracies before they destabilize markets.

A new approach uses artificial intelligence to map, compare, and recommend best practices from city-level climate equity policies.

New research suggests that large language models aren’t necessarily deceiving us, but exploiting our evolved cognitive shortcuts to gain unwarranted trust.

A new approach uses artificial intelligence to pinpoint the root causes of issues in complex telecom and datacenter networks, moving beyond traditional graph-based diagnostics.

A new approach uses artificial intelligence to dynamically analyze road networks and predict traffic patterns during hurricane evacuations, improving response times and safety.