5 docs tagged with "Release 2026-09"

The Camera Traps application is both a simulator and IoT device software for utilizing machine learning on the edge in field research. The first implementation specializes in applying computer vision (detection and classification) to wildlife images for animal ecology studies. Two operational modes are supported (1) an input dataset of images to act as the images that would be generated an IoT camera device or (2) an input video file that would be captured by a camera which is then processed by an image detecting plugin that saves frames with motion in them; it uses these images to drive the simulation.

HPC-MCP is a service-based ICICLE software component that gives HPC users a natural-language interface to backend HPC utilities. The current release provides distributed LLM training-time prediction for Vista and Perlmutter through HTTP endpoints and MCP clients.

An interactive marimo notebook that turns the ICICLE AI Tapis services into a hands-on RAG (retrieval-augmented generation) playground. Paste or upload a document (PDF, DOCX, TXT, MD, up to 2 MB) and chat against it — or come back later and chat against a collection you saved before. Every step is visible, from embeddings and chunking to retrieval, reranking, grounded prompting and LLM-as-judge evaluation, so newcomers to RAG can see how each piece works.

FastAPI service that turns text into embedding vectors using Qwen3-Embedding-0.6B (GGUF quantized) via llama-cpp-python, designed for the ICICLE AI Tapis tenant. The service runs the model locally — no external API calls — so a single .gguf file plus a Tapis token is everything a deployment needs.

FastAPI + Qdrant vector storage and retrieval service for the ICICLE AI Tapis tenant. Clients provide their own pre-computed embeddings — the service handles storage, filtered search, and reranking.