Self-driving lab systems (aka, autonomous experimentation) accelerate research - letting scientists learn faster, spend less resources, and fail smarter in well defined, narrow studies. The ...

Agent-based modelling and simulation (ABMS) constitutes a powerful computational paradigm for exploring the dynamics of complex systems through the interactions of discrete, autonomous agents. Each ...

Embedded Markets launched with two AI-agent risk tools, LeveeBacktest Engine and emPortfolioAnalyzer, both due in beta in the ...

SimScale introduces an AI simulation agent for Onshape, enabling engineers to run validation workflows from CAD.

According to DeepLearningAI, OpenAI ran 10,000 agents on Navier–Stokes and DeepSeek launched V4.1 Flash for cheaper long-context workloads.

IntroductionA major shift is occurring in the world of market research, where companies spend $140 billion annually. Traditional research methods—gathering survey respondents, having them answer ...

In addition to these major updates, COMSOL Multiphysics version 2027 includes a new time-periodic solver that enables ...

The agent supports CAD preparation, simulation setup, physics analysis and results review through natural-language prompts.

Uncertainty is no longer episodic but a persistent feature of the operating environment for businesses, as market volatility, geopolitical risk, regulatory changes, demographic shifts and climate ...

The relentless pace of semiconductor development continues unabated. Despite the slowdown in Moore’s law, feature sizes continue to shrink as new geometries come online. Constant innovations in both ...

Simulation models guide million-dollar inventory decisions, staffing patterns that affect patient care and investment strategies that manage pension funds. Yet many organizations still treat them as ...