A new study reveals that the next generation of blockchain defenses will not rely on fixed rules alone but on adaptive, learning-based systems capable of evolving alongside intelligent adversaries.

About AltaClaro: AltaClaro is the pioneer and global leader in data-driven experiential training for legal professionals, ...

This argument aligns with the so-called hard problem of consciousness, which asks why subjective experience exists at all. The author maintains that increasing computational complexity does not ...

AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.

The model introduces a strategic game-theoretic mechanism among patients, where each agent makes referral decisions based on multiple factors, including medical benefits, commuting costs, and limited ...

Objectives We aim to use an agent-based model to accurately predict the spread of COVID-19 within multiple US state prisons. Design We developed a semistochastic transmission model of COVID-19.

Generative models aim to simulate realistic effects of various actions across different contexts, from text generation to visual effects. Despite efforts to build real-world simulators, leveraging ...

Zhipu AI has open-sourced AutoGLM, an AI agent model described as the first to demonstrate stable on-device “phone use” capabilities, Blue Whale Finance reported. The model can perform multi-step ...

GATSim is a novel framework that leverages generative agents 🤖 to simulate urban transportation systems. Unlike traditional rule-based approaches, GATSim creates autonomous agents capable of ...

The PAN AI world model developed at the Mohamed bin Zayed University of Artificial Intelligence in Abu Dhabi can simulate a wide range of real-world conditions for training autonomous systems, ...