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Smartair | An active learning algorithm for real-time acquisition and regression of flow field dataSmartair | An active learning algorithm for real-time acquisition and regression of flow field data
May 1, 2024
Smartair | An active learning algorithm for real-time acquisition and regression of flow field data

Smartair | An active learning algorithm for real-time acquisition and regression of flow field data

We’ve developed a smart solution for wind tunnel testing that learns as it works, providing accurate results faster. It provides an accurate mean flow field and turbulence field reconstruction while shortening the sampling time.
Blog
The Promise of AI in Pharmaceutical ManufacturingThe Promise of AI in Pharmaceutical Manufacturing
April 22, 2024
The Promise of AI in Pharmaceutical Manufacturing

The Promise of AI in Pharmaceutical Manufacturing

Innovation in pharmaceutical manufacturing raises key questions: How will AI change our operations? What does this mean for the skills of our workforce? How will it reshape our collaborative efforts? And crucially, how can we fully leverage these changes?
Blog
Efficient and scalable graph generation through iterative local expansionEfficient and scalable graph generation through iterative local expansion
March 20, 2024
Efficient and scalable graph generation through iterative local expansion

Efficient and scalable graph generation through iterative local expansion

Have you ever considered the complexity of generating large-scale, intricate graphs akin to those that represent the vast relational structures of our world? Our research introduces a pioneering approach to graph generation that tackles the scalability and complexity of creating such expansive, real-world graphs.
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RAvaFcast | Automating regional avalanche danger prediction in SwitzerlandRAvaFcast | Automating regional avalanche danger prediction in Switzerland
March 6, 2024
RAvaFcast | Automating regional avalanche danger prediction in Switzerland

RAvaFcast | Automating regional avalanche danger prediction in Switzerland

RAvaFcast is a data-driven model pipeline developed for automated regional avalanche danger forecasting in Switzerland. It combines a recently proposed classifier for avalanche danger prediction at weather stations with a spatial interpolation model and a novel aggregation strategy to estimate the danger levels in predefined wider warning regions, ultimately assembled as an avalanche bulletin.
Blog
License Flowers | Art and AI at SDSCLicense Flowers | Art and AI at SDSC
February 21, 2024
License Flowers | Art and AI at SDSC

License Flowers | Art and AI at SDSC

An adventure to create art using AI to raise awareness on code licenses
Blog
PassGPT | Using language models to enhance password securityPassGPT | Using language models to enhance password security
February 6, 2024
PassGPT | Using language models to enhance password security

PassGPT | Using language models to enhance password security

PassGPT is a Large Language Model for password generation trained on leaked passwords, which can outperform existing methods based on generative adversarial networks by guessing twice as many unseen passwords.
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