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Architecting AI data systems and the emergence of operating intelligence at scale
Enterprise data systems now sit beside ranking, inference and decision pipelines that influence what users see, interact with ...
The built environment faces increasing pressures from climate change, resource limitations, and rapid urbanisation.
Tackling the data center operational and sustainability challenge with Cadence Reality Data Center Digital Twin ...
Validates the performance of AI infrastructure by emulating real-world workloads Evaluates how new algorithms, components, and protocols improve the performance of AI training Adjusts and optimizes ...
Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated system. Using model-based systems engineering (MBSE) as a framework to ...
Transforming an initial idea into a concept design is a complex process. It requires understanding project requirements like context, program, budget, and functionality and rapidly iterating—usually ...
Creative suite company Canva launched its own design model on Thursday that understands design layers and formats to power its features. The company also introduced new products and features, updates ...
Neo-1 is the first model to unify de novo molecular generation and atomic-level structure prediction in a single model, by generating latent representations of whole molecules instead of predicting ...
Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects. What is ...
The company remains tight-lipped on how it uses customer content to train its own AI model, which can generate layered designs that are easier to edit. Canva has built its own foundational AI model ...
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