Lottery Unlocked 2026: AI Accuracy Claims Examined, Pricing Verified, and What Consumers Should Confirm Before Buying

An independent 2026 overview of Lottery Unlocked's Quantum+ Algorithm claims, what the company states about its AI lottery prediction system, current pricing and 60-day refund terms, how lottery ...
Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
The Dubrovnik Times

How RNG Ensures Fairness in Digital Dice: What Casino Online Casoola Experts Say About This

The transparency of gambling games directly depends on the random number generators integrated. In games with digital dice, brands are a key part to recreate the complete physical unpredictability of ...

Dr. Kara Leigh Roncin selected as Top Surgical and Clinical Pathologist of the Decade by IAOTP

The International Association of Top Professionals will honor Dr. Kara Leigh Roncin at their annual awards gala in NYC ...

A few weeks of X's algorithm can make you more right-wing—and it doesn't wear off quickly

A new study published in Nature has found that X's algorithm—the hidden system or "recipe" that governs which posts appear in your feed and in which order—shifts users' political opinions in a more ...
University News & Events

Brain organoids can be trained to solve a goal-directed task

UC Santa Cruz researchers are exploring how brains learn, adapt, and improve, which could help us better understand and address neurological conditions.
Tech Xplore

Choosing experiments randomly can help scientists develop better theories, new model reveals

The race to develop a virtual scientist—an AI creation that conducts every stage of research, from idea to publication—has ...
Visual Studio Magazine

Decision Tree Regression from Scratch Without Pointers or Recursion Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...
IEEE

Influence of Relief Feature Selection on Random Forest and Support Vector Machine Classification Algorithm

Abstract: The classification technique is one of the popular techniques used in helping humans decide the target class of a data based on machine learning principles. Unfortunately the construction of ...
IEEE

A Novel Superpixel Segmentation Method Based on Adaptive Seed Expansion Random Walk Algorithm Toward Complex Scene Images Processing

Abstract: Superpixels facilitate image complexity reduction by over-segmenting it into compact atomic regions that align with object boundaries. However, most superpixel segmentation algorithms ...
Dexerto

You can now doomscroll Wikipedia like social media with a clever algorithm

If you’ve ever wanted a social media feed that’s a bit more educational, that dream is now a reality thanks to Xikipedia.
GitHub

Project Title: Feature Engineering and Imbalanced Data in Money Laundering Detection: A Comparative Study of ML Algorithms

This project primarily used the small dataset with a high illicit ratio, which contains 5,078,345 financial transactions spanning 10 days.It effectively addresses challenges such as overlap and ...