Researchers at Andon Labs just answered which AI models are best at running a business. But their tactics may make things complicated.

Key TakeawaysDigital twins are ultra-accurate computer-based simulations of complex physical systems used for exploring "what ...

Agentic AI refers to AI systems that not only analyze and recommend actions but autonomously execute decisions across supply chain systems—such as updating inventory status, re-tendering loads, ...

Instead of relying on preprogrammed routines, Scout AI's platform used a layered model architecture to make tactical decisions in real time.

VALT introduces human-in-the-loop identity control that ensures AI agents act only with cryptographically verified ...

AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to ...

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

Lyzr says it has gained traction among large consulting firms and enterprise customers in regulated industries. Surendira cited deployments at Accenture Plc and KPMG LLP, including a system built by ...

Distributed Integrated Energy Microgrid, as a key infrastructure for the low-carbon transition of regional energy systems, faces critical challenges in achieving optimal operation—primarily due to ...

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.

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 ...