Florida finds an unexpected ally in the fight against pythons: opossums

Scientists in Florida have launched a new offensive against the Burmese python invasion, this time using opossums, one of the ...

Where are Burmese pythons in Florida? They're moving north

Burmese pythons are an invasive species in Florida, primarily established in the Everglades and South Florida. These snakes ...
GitHub

A minimal, secure Python interpreter written in Rust for use by AI.

Experimental - This project is still in development, and not ready for the prime time. A minimal, secure Python interpreter written in Rust for use by AI. Monty avoids the cost, latency, complexity ...

Opossums as weapons against Burmese pythons? Here's what's happening

Florida's opossums could soon become weaponized against prolific and invasive Burmese pythons by tracking them.

Invasive Burmese pythons may have met their match – opossums

Researchers are using GPS-wearing opossums to track down the invasive Burmese pythons in Florida. We explain how it's done.
TheServerSide

Run Llama LLMs on your laptop with Hugging Face and Python

There are numerous ways to run large language models such as DeepSeek, Claude or Meta's Llama locally on your laptop, including Ollama and Modular's Max platform. But if you want to fully control the ...
GitHub

ARBO: Rapid spatial clustering and enriched metabolite discovery for MSI data

ARBO provides utilities for preprocessing, visualization, and spatial clustering of metabolomics mass spectrometry imaging (MSI) data, with support for Python-based UMAP embedding through reticulate, ...
IEEE

Using UMAP for Dimensionality Reduction of Hyperspectral Data

Abstract: Uniform Manifold Approximation and Projection (UMAP) is a recent technique for dimensionality reduction. In this paper, we study UMAP for hyperspectral data processing. For well-known ...
IEEE

Enhanced Clustering of Large Language Model-Generated Tasks: A Hybrid Approach Using UMAP, DBSCAN, and KMeans and XAI

Abstract: Categorization of tasks produced by Large Language Models (LLMs) is necessary to interpret their practical uses. Conventional clusterization with BERTopic and BERT embeddings is restricted ...