Large language models are powering a new generation of AI agents that could transform computational chemistry from a ...

The deal arrives as Meta accelerates its AI investments to compete with Google, Microsoft, and OpenAI — and as the industry’s ...

AI coding agents are highly vulnerable to zero-click attacks hidden in simple prompts on websites and repositories, a ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Patronus AI unveiled “Generative Simulators,” adaptive “practice worlds” that replace static benchmarks with dynamic reinforcement-learning environments to train more reliable AI agents for complex, ...

Abstract: This paper presents an agent-based simulation model with cognitive elements, developed to explore strategies for managing complex projects under uncertainty. The model was implemented using ...

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 ...

Welcome to the official repository for IT4123: Agent Based Computing practicals and assignments. This repository is maintained for uploading practical sessions and coursework related to the IT4123 ...

Autonomous AI agents are here, and they’re poised to reshape the economy. By automating discovery, negotiation, and transactions, agents can overcome inefficiencies like information asymmetries and ...

In the 1980s and ’90s, SFI played laboratory to a promising new method known as agent-based modeling. Instead of relying on averages and unrealistic mathematical assumptions, these models were built ...