In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

In next-generation silicon, AI can interpret system behavior at scale, but only if observability is designed into the fabric ...

HONG KONG and NEW YORK, June 30, 2026 /PRNewswire/ -- METiS TechBio (7666.HK), a leading AI-driven drug delivery innovation company, today announced it has entered into an exclusive global licensing ...

METiS TechBio (7666.HK), a leading AI-driven drug delivery innovation company, today announced it has entered into an ...

From affordability to carbon output, there are many reasons to bring topological optimization out of the realm of 3D printing ...

In 2022, global production of construction materials accounted for more than 7% of total carbon emissions. But how many of ...

Abstract: Electric machine design optimization is a popular topic in electrical engineering. Thanks to major accomplishments in Mathematics and Computer Science, nowadays the investigation of ...

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which ...

New framework helps biomanufacturers’ interventions, eyeing quality, cost, and stability for two-step chromatography decisions.

Supply chain network design is a powerful modeling approach proven to deliver significant reduction in supply chain costs and improvements in service levels by better aligning supply chain strategies.

Abstract: Many system design methods use population-based optimization or a surrogate model for solving constrained multiobjective optimization (CMOO). When designing a system with multiple objectives ...

This is achieved via Bayesian Design of Experiments, which helps to efficiently navigate parameter search spaces. It balances exploitation of parameter space regions known to lead to good outcomes and ...