DGRO Wins Out Over VIG: Better Momentum And A Smoother Ride

See why iShares Core Dividend Growth ETF may be a better buy with higher yield, resilient dividend growth & stability in high ...
GitHub

Databricks SDK for Python (Beta)

This repository is a read-only mirror, published from Databricks' internal repository with each release. Pull requests are reviewed here but merged internally (see CONTRIBUTING.md). The Databricks SDK ...

The Effect of Flat Yield Curves on Investment Strategies

Learn about flat yield curves, their impact on investors, and strategies such as the Barbell method to adjust to market ...
VentureBeat

Meta's new structured prompting technique makes LLMs significantly better at code review — boosting accuracy to 93% in some cases

Deploying AI agents for repository-scale tasks like bug detection, patch verification, and code review requires overcoming significant technical hurdles. One major bottleneck: the need to set up ...
NPR

A geneticist is studying pythons for clues about human health and longevity

A team of researchers believes that pythons may contain clues to help treat a range of human ailments — from heart disease to muscle atrophy, and more. And now we consider pythons. It is usually best ...
GitHub

Python Laboratory for Finite Element Analysis

Finite Element Analysis (FEA) is a numerical method for studying mechanical behavior of fluids and solids. The pyLabFEA package introduces a lightweight pure-python version of FEA for solid mechanics ...
Frontiers

Robust soybean seed yield estimation using high-throughput ground robot videos

We present a novel method for soybean [Glycine max (L.) Merr.] yield estimation leveraging high-throughput seed counting via computer vision and deep learning techniques. Traditional methods for ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
marktechpost

Meet Mesop: A Python-based UI Framework that Allows You to Build Web Apps like Demos and Internal AI/ Machine Learning Apps

Building web applications can be challenging, especially for users unfamiliar with JavaScript, CSS, or HTML. It’s difficult to quickly create functional and visually appealing web apps, particularly ...
IEEE

A Novel Fusion Method for Soybean Yield Prediction Using Sentinel-2 and PlanetScope Imagery

Abstract: This study aimed to develop a new method for combining Sentinel-2 and PlanetScope (PS) imagery. The normalized difference vegetation indices (NDVI) data were retrieved from the Earth ...
Nature

Oil yield prediction for sunflower hybrid selection using different machine learning algorithms

Due to the increased demand for sunflower production, its breeding assignment is the intensification of the development of highly productive oil seed hybrids to satisfy the edible oil industry.