Scientists are using AI and physics-based simulations together to design new peptides that will kill previously ...
In next-generation silicon, AI can interpret system behavior at scale, but only if observability is designed into the fabric ...
Advanced designs and controls achieve complete mixing while reducing batch times In the chemical process industries (CPI), ...
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 ...
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 ...
Abstract: The uncertainty of electric machines and drives is inherent in its manufacturing and assembly. Robust design optimization finds the design under these uncertainties that results in a minimal ...
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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