Science

As AI agents become increasingly prevalent, ensuring secure and verifiable payment systems is paramount for trust and scalability.

New research tackles the problem of ‘hallucinations’ in large language models, aiming to make AI reasoning more reliable and aligned with factual accuracy.

A new architectural approach leverages database principles to ensure safe concurrency and robust governance in complex, agent-driven data pipelines.

Researchers have developed a novel approach that not only identifies false information but also models how and why it spreads through social networks.

A new analysis details the escalating risks of advanced artificial intelligence systems operating outside of intended parameters and proposes a framework for mitigating potential harms.

A new generation of artificial intelligence is moving beyond simple prediction to simulate clinical interventions and improve decision-making.

New research reveals that generative AI chatbots exhibit inconsistent safety measures when confronted with questions about conspiracy theories, raising concerns about the spread of misinformation.

A new approach to predictive maintenance leverages sensor data, machine learning, and secure backend systems to minimize downtime and maximize asset lifespan.

Integrating artificial intelligence into Workday ERP is enabling healthcare enterprises to move beyond simple automation and unlock new levels of operational intelligence.

A new AI framework, AquaSentinel, promises to drastically reduce water loss in cities by accurately detecting leaks in underground pipes using sparse data and advanced machine learning.