Simulations were stuck in 2D and took hours. Physics-informed AI now models 3D urban airflow in seconds.
An aerospace engineering research laboratory focused on fluid mechanics and urban airflow simulations for climate resilience.
Traditional computational fluid dynamics methods forced a trade-off between accuracy and speed, restricting models to 2D planes that could not...
“Aerodynamics and turbulence are unsolved problems of physics. The answer must be in the data, so we were inspired and intrigued by using AI methods to really interrogate this data, and that’s the type of solutions we have been obtaining to develop very efficient frameworks.”
Public research university with comprehensive academic and graduate programs.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Provided hands-on engineering assistance for NVIDIA frameworks to the VinuesaLab research team.
Related implementations across industries and use cases
Legacy tools stalled on sensor data. A secure AI supercomputer now lets researchers model maritime weather with 1-km precision.
Traditional modeling bottlenecked stress tests with limited data. Now, generative AI rapidly scales massive threat scenarios agency-wide.
Data policies blocked collaboration. Federated AI detects signals 10x faster, syncing global observatories without exposing raw data.
Models were overfit to $250k hardware. Billions of simulations trained a universal brain for $4k robots that adapts in seconds.
Scientists spent hours processing water depths. Now, an AI-built tool automates analysis, instantly visualizing restoration needs.
Auditors spent 10 months reviewing boxes of invoices. AI now reconciles the data in hours, freeing staff to investigate anomalies.
Data policies blocked collaboration. Federated AI detects signals 10x faster, syncing global observatories without exposing raw data.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.
Simulations were stuck in 2D and took hours. Physics-informed AI now models 3D urban airflow in seconds.
An aerospace engineering research laboratory focused on fluid mechanics and urban airflow simulations for climate resilience.
Traditional computational fluid dynamics methods forced a trade-off between accuracy and speed, restricting models to 2D planes that could not...
“Aerodynamics and turbulence are unsolved problems of physics. The answer must be in the data, so we were inspired and intrigued by using AI methods to really interrogate this data, and that’s the type of solutions we have been obtaining to develop very efficient frameworks.”
Public research university with comprehensive academic and graduate programs.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Provided hands-on engineering assistance for NVIDIA frameworks to the VinuesaLab research team.
Related implementations across industries and use cases
Legacy tools stalled on sensor data. A secure AI supercomputer now lets researchers model maritime weather with 1-km precision.
Traditional modeling bottlenecked stress tests with limited data. Now, generative AI rapidly scales massive threat scenarios agency-wide.
Data policies blocked collaboration. Federated AI detects signals 10x faster, syncing global observatories without exposing raw data.
Models were overfit to $250k hardware. Billions of simulations trained a universal brain for $4k robots that adapts in seconds.
Scientists spent hours processing water depths. Now, an AI-built tool automates analysis, instantly visualizing restoration needs.
Auditors spent 10 months reviewing boxes of invoices. AI now reconciles the data in hours, freeing staff to investigate anomalies.
Data policies blocked collaboration. Federated AI detects signals 10x faster, syncing global observatories without exposing raw data.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.