New integrations between Python and MATLAB’s Simulink platform are enabling engineers to coexecute Python models, automate VLSI workflows, and bridge AI-driven design with traditional simulation.

Researchers have unveiled AI systems that could simplify and improve the control of fusion plasmas, from compressing diagnostic data to uncovering hidden physics. New models like FusionMAE can unify ...

Today, JuliaHub announces the launch of Dyad 3.0 and a $65M series B funding round led by Dorilton Capital, with ...

Across the United States, universities and healthcare institutions are entering a new phase of transformation driven by ...

According to a survey of 300 senior executives by global consultancy PcW, 88 percent plan to increase their AI budgets ...

Learn how to install and use Hermes Agent to automate complex tasks, benchmark AI models like GPT 5.5, and run iterative ...

As we approach the Convergence Age, the physical, digital, and biological are merging into a hyperconnected environment. Our ...

Dr Sam Cooper on how the next generation of materials and medicine will be shaped by our understanding of microstructure ...

As artificial intelligence (AI) training reshapes data center power system design, early adopters using battery energy storage systems (BESS), microgrid control, and unified automation are positioning ...

The results have been impressive by the metrics that matter to technology teams: accuracy rates, processing speeds, cost ...

The GPU server market is poised for strong growth, driven by AI and ML adoption. Key opportunities lie in expanding high-performance computing capabilities, AI-centric investments, and deploying ...