AMD sees an emerging class of PC users running AI models locally on powerful, AI-optimized machines—a new category poised to compete with Nvidia's DGX Spark.

Mount Sinai study multi-agent AI shows higher accuracy and lower computing use managing up to 80 clinical tasks simultaneously in simulations.

Despite significant mathematical refinements, econometrics has shown the weaknesses of its logical underpinnings, primarily during economic turning points—financial crises, pandemics, and geopolitical ...

The LLM race stopped being a close contest pretty quickly.

Imaging-based single-cell physiological profiling holds great potential for uncovering fundamental bacterial cold shock response (CSR) mechanisms, but its application is impeded by severe focus drift ...

At its Synopsys Converge event currently underway in Santa Clara, the company announced an array of tools and initiatives to ...

In a sport dominated by agents and intermediaries, Kylian Mbappé’s career is run another way. At the center is his family ...

Fainite is developing a physics-aware AI platform to accelerate simulation workflows, reduce engineering complexity and ...

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.

There have never been more basketball stars from France. Two best friends saw it coming decades ago and are reaping the benefits. By Tania Ganguli Last spring, in his quest to become one of the ...

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 ...