5 docs tagged with "Release 2024-09"

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: "simulation" mode and "demo" mode. When executed in simulation mode, the software serves as a test bed for studying ML models, protocols and techniques that optimize storage, execution time, power and accuracy. It requires an input dataset of images to act as the images that would be generated an IoT camera device; it uses these images to drive the simulation.

Harvest is a tool designed to allow multiple types of stake holders in the digital agriculture space further their own unique goals from research to increases of the bottom line. Harvest allows for the creation of pipelines where users can preprocess their data, train models on HPC resources, infer on models to get insights on farm fields, and some visualizations to give an at a glance understand of what is happening on the field.

Ilúvatar is an open Serverless platform built with the goal of jumpstarting and streamlining FaaS research.

Speech is the new essential fuel for human-computer interaction. With the current trend of

Cetus Source to Source compiler improvements are being done at the University of Delaware. In this release, we release cetus base plus an static profiling feature and the instructions to use it.