MinerAlert
MinerAlert
AAII helps UTEP faculty, researchers, and students secure and use high-performance computing resources.
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.
AAII offers support in the use of the following tools and platforms.
Framework for building and training neural networks.
End-to-end open-source platform for machine learning.
Self-interaction correction in density functional theory.
Catalog of GPU-accelerated software and models.
Platform for deploying and managing applications.
Daemonless engine for developing and running containers.
Workload manager for high-performance computing.
Free data science platform for Python and R.
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Open-source models and a workflow platform that UTEP researchers can use with AAII support.
Models that combine images, text, and audio, including the fusion of data from multiple sensors and cross-modal analysis.
| Model | Category | Link |
|---|---|---|
| OpenCLIP (opens in a new tab) | Vision-language encoder | |
| BLIP-2 (LAVIS) (opens in a new tab) | Vision → Text / Instruction tuning | |
| LLaVA (opens in a new tab) | Multimodal LLM (image+text) | |
| Stable Diffusion (opens in a new tab) | Text → Image | |
| Whisper (opens in a new tab) | Speech → Text | |
| OpenMMLab (opens in a new tab) | Computer vision toolbox | |
| Llama (opens in a new tab) | Language understanding, reasoning, and text generation |
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.
Integration type: Data-to-Model
Optimizes reservoir operations and water allocation decisions under economic and institutional constraints.
Integration type: Data-to-Model
Connects 2 scientific models by using the outputs of one as inputs to another, for more complete and realistic scenario analysis.
Integration type: Model-to-Model