MiniMax-M2 is the new king of open source LLMs (especially for agentic tool calling)

These scores place it at or near the level of top proprietary systems like GPT-5 (thinking) and Claude Sonnet 4.5, making ...
MyNorthwest.com

Emerging TikTok deal with China ensures US control of board and crucial algorithm, White House says

WASHINGTON (AP) — An emerging TikTok deal with China will ensure that U.S. companies control the algorithm that powers the app’s video feed and Americans will hold a majority of seats on a board ...
IEEE

A Study on Medal Prediction Based on Sparrow Search Algorithm and MLP Neural Networks

Abstract: In this study, a combination of Sparrow search algorithm and MLP neural network is innovatively utilized, and Logistic regression, EEMD integrated empirical modal decomposition, and DID ...
Frontiers

Random forest-driven mortality prediction in critical IBD care: a dual-database model integrating comorbidity patterns and real-time physiometrics

Background: Inflammatory bowel disease (IBD) poses significant mortality risks for critically ill patients requiring intensive care unit (ICU) admission, driven by complications such as malnutrition, ...
Visual Studio Magazine

Implementing k-Nearest Neighbors Regression Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of k-nearest neighbors regression using JavaScript. There are many machine learning regression techniques, but k-nearest neighbors is ...
Android Police

How I made YouTube useful again

Ben Khalesi covers the intersection of artificial intelligence and everyday tech at Android Police. With a background in AI and data science, he enjoys making technical topics approachable for those ...
Scientific Research Publishing

Nguyen, N.T.T., Kenyon, G.T. and Yoon, B. (2020) A Regression Algorithm for Accelerated Lattice QCD That Exploits Sparse Inference on the D-Wave Quantum Annealer. Scientific ...

ABSTRACT: The Matrix Element Method (MEM) is a widely used algorithm in experimental and theoretical high-energy physics (HEP) analyses. The MEM is based on the Lagrangian method to assess the ...
Assembly Mag

Traditional Machine Learning for Practical Machine Vision: It’s Been There All Along

Powerful and practical machine learning tools for machine vision applications are already available to everyone, even if you’re not a data scientist. It might come as a bit of a surprise, but machine ...
GitHub

A scikit-learn compatible implementation of the Adaptive Lasso algorithm for feature selection and regression.

Adaptive Lasso is an extension of the standard Lasso method that provides improved feature selection properties through weighted L1 penalties. It assigns different weights to different coefficients in ...