Sydney Sweeney is wrapped in a python — and little else — in bizarre ‘Euphoria’ scene

Sydney Sweeney is drawing attention for yet another bizarre scene in “Euphoria.” During Sunday’s episode, Sweeney’s character ...

In Florida, Harriet is 'most interesting Burmese python on the planet'

Long-term tracking shows a Burmese python is rewriting assumptions about breeding, giving new intel for Florida's battle ...
IEEE

State Estimation With Model Uncertainty Using Structure Variational Bayesian and Transfer Learning

Abstract: This paper proposes a novel approach to address parameter uncertainties for state estimation in Markovian jump linear systems by leveraging transfer learning. Assume that the source domain ...

AI tool boosts imperfect antibiotic candidates, with 85% working in lab tests

Researchers at the University of Pennsylvania have developed ApexGO, a novel, AI-powered method for turning promising but imperfect antibiotic candidates into more potent ones. Unlike many existing AI ...
GitHub

Priestley-Taylor Jet Propulsion Laboratory (PT-JPL) Evapotranspiration Model Python Implementation

This software package is a Python implementation of the Priestley-Taylor Jet Propulsion Laboratory (PT-JPL) model of evapotranspiration. It was re-implemented in Python by Gregory Halverson at Jet ...
Analytics Insight

Best Statistics for Data Analysis Courses and Certifications in 2026

Overview:  Statistics courses teach practical data analysis skills that can be used in real jobs and business ...

Why this Florida python raises new alarm about invasive spread

Long-term tracking shows a Burmese python is rewriting assumptions about breeding, giving new intel for Florida's battle ...
InfoWorld

12 model-level deep cuts to slash AI training costs

Stop throwing money at GPUs for unoptimized models; using smart shortcuts like fine-tuning and quantization can slash your ...
IEEE

A Variational Bayesian Inference-Based Robust Dissimilarity Analytics Model for Industrial Fault Detection

Abstract: Due to various reasons, outliers, ambient noise and missing data inevitably exist in the industrial processes, and thus the robustness is important when establishing monitoring models. In ...