MinerAlert
MinerAlert
A high-resolution, large-format display environment for scientific data exploration, multidisciplinary collaboration, and high-profile presentations.
Provides high-performance computing capacity for running AI models, scientific simulations, and large-scale data processing workloads.
| Tool/Software | Description/Use Case | Link |
|---|---|---|
| PyTorch | Deep learning framework for building and training neural networks | https://pytorch.org/ |
| TensorFlow | End-to-end open-source platform for machine learning | https://www.tensorflow.org/ |
| FLOSIC | Software for self-interaction correction in density functional theory | https://www.flosic.org/ |
| Docker | Containerization platform for deploying and managing applications | https://www.docker.com/ |
| Podman | Daemonless container engine for developing, managing, and running containers | https://podman.io/ |
| SLURM | Workload manager for high-performance computing environments | https://slurm.schedmd.com/documentation.html |
| Anaconda | Free data science platform for Python and R, offering a simplified way to manage packages, environments, and projects, especially for AI, machine learning, and scientific computing | https://anaconda.org/ |
| NVIDIA NGC | AI-driven platform and marketplace providing GPU-accelerated software, containers, models, and SDKs, optimized for deep learning and high-performance computing (HPC) | https://catalog.ngc.nvidia.com/ |
Models that integrate multiple sources of information (e.g., images, text, audio) to more effectively address machine-learning tasks, including the fusion of data from multiple sensors and cross-modal analysis.
Connect data, models, and simulations into reproducible AI-enabled research pipelines.
A platform that connects scientific models with the data they need, providing cloud hosting and an easy-to-use interface for integration, execution and interpretation of water models.
Simulates regional water flows, reservoir operations, and groundwater use across the Middle Rio Grande under historical and projected climate conditions.
Optimizes reservoir operations and water allocation decisions under economic and institutional constraints.
Model-to-Model integration automatically connects two scientific models by using the outputs of one as inputs to another. This enables seamless multi-model workflows for more complete and realistic scenario analysis.
For questions or to learn more, please contact aaii@utep.edu.