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 ...
A new computer model developed by US researchers could reduce the amount of material for bridges and buildings by up to 90 percent and make future structures far more efficient. The approach was ...
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 ...
One of the key challenges of building effective AI agents is teaching them to choose between using external tools or relying on their internal knowledge. But large language models are often trained to ...
Crimson Desert looks great and runs well across a wide range of PC hardware (check out our benchmarks), but it is not without its rough edges. Certain settings combinations can introduce visual issues ...
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