Modeling complex systems When studying complex biological systems such as the immune system, scientists can extract many different types of data. Sequencing cell genomes tells them which gene variants ...

Kinetic theory and mathematical modeling have emerged as indispensable tools for elucidating the collective behaviour of complex systems. This discipline applies statistical mechanics to a diverse ...

A team led by Academician GUO Guangcan from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS), with collaborative efforts from the University of ...

It also develops its own series of AI models, and today it announced the availability of its most capable model so far. The ...

In fields ranging from immunology and ecology to economics and thermodynamics, multi-scale complex systems are ubiquitous. They are also notoriously difficult to model. Conventional approaches take ...

The benefits of using simulation early and often in the product development process are clear. You can verify requirements and begin studying and exploring design alternatives before prototyping and ...

VisualSim Architect shows how system-level modeling can expose latency, power, and thermal tradeoffs early in chiplet-based ...

New Website Consolidates Philosophical Foundations, Mathematical Formulations, and Empirical Studies on Systemic ...

Today’s electronic systems are an increasingly complex combination of hardware and software components. They contain an ever-expanding range of functions, require more computing power, have to operate ...

Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds enterprise system prompt instructions into model weights, reducing inference ...

CAMBRIDGE, MA -- Over the past two decades, new technologies have helped scientists generate a vast amount of biological data. Large-scale experiments in genomics, transcriptomics, proteomics, and ...