Science

New research casts doubt on the ability of cryptocurrency project whitepapers to accurately predict actual market performance.

A new framework explains how unexpected failures arise in complex systems of AI agents, pinpointing the contributions of individual actors to catastrophic outcomes.

A new approach combines geodetic data with the physics of fault behavior, offering a powerful tool for understanding and potentially forecasting slow slip events.

As artificial intelligence increasingly controls critical infrastructure, the potential for deception through manipulated sensory data presents a growing threat to the safety and reliability of cyber-physical systems.

A new integrated digital twin environment is poised to accelerate innovation in nuclear plant technology and bolster operational safety through advanced robotics, AI, and cybersecurity.

A new approach leverages token-level loss to more accurately forecast how well a model will perform on unseen tasks.

Researchers are leveraging the power of transformer networks to model and predict the collective behavior of chaotic many-body systems, opening new avenues for understanding complex phenomena.

A new framework efficiently captures the complex interplay between connections in signed graphs, improving the accuracy of link sign prediction.

A new deep learning framework leverages the power of Kolmogorov-Arnold Networks to predict species co-occurrence and improve joint species distribution models.

New research reveals the behavioral cues that make people vulnerable to online job scams, leading to significant financial loss.