Design space optimization and flexibility analysis are central to enhancing the robustness, efficiency and regulatory compliance of pharmaceutical manufacturing. These approaches routinely combine ...

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

Synopsys, Inc. reaches scale for AI-driven chip designs as major semiconductor customers register the first 100 commercial tape-outs with the company's Synopsys DSO.ai (Design Space Optimization AI) ...

Forbes contributors publish independent expert analyses and insights. Dave Altavilla is a Tech Analyst covering chips, compute and AI. Machine Learning, or what the industry generally refers to as AI, ...

(MENAFN- EIN Presswire) EINPresswire/ -- Ainnocence, a next-generation AI-driven biotechnology company, announces NatmolAITM, a sequence-first molecular design platform focused on the discovery and ...

Programmable material systems are emerging architectural structures but the co-design of structure, material, and external stimuli present grand challenges. A team with Northwestern Engineering’s Wei ...

Modern semiconductor chip design faces growing complexity due to numerous timing scenarios driven by varying operating conditions and physical effects. This complexity is especially pronounced in ...

Turning the gray space into a strategic asset, with insights from Mitsubishi Electric Automation’s subject matter expert, ...

PhysicsX’s LGM-Aero AI-based analysis tool predicts performance of new shapes. Credit: PhysicsX Numerical simulation has become an essential part of aircraft design, from aerodynamics and structures ...

The wide-speed-range vehicles have attracted significant attention due to the exceptional performance in autonomous aerospace ...