IEEE

Conic Hull Fitting-Based Dictionary Matrix Learning for Nonnegative Matrix Factorization

Abstract: Nonnegative matrix factorization (NMF) is a powerful tool for signal processing and machine learning. Geometrically, it can be interpreted as the problem of finding a conic hull, which ...
Kaleido Scope

Maximize Your Time with the Eisenhower Matrix

Discover how the Eisenhower Matrix can help you prioritize your tasks based upon urgency and importance. Learn how to use the matrix to focus on what truly matters while reducing time spent on ...
Wired

AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
Hosted on MSN

Learn this 60-year-old master’s baking method – I make it daily

Main ingredients: Water Sugar Salt Flour oil The amount of ingredients is explained in the subtitle of the video. Discover a time-tested baking method passed down by a 60-year-old master. Simple, ...
VentureBeat

Google’s new AI training method helps small models tackle complex reasoning

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...
The Conversation

Chalk and talk vs. active learning: what’s holding South African teachers back from using proven methods?

Lizélle Pretorius received funding from UNISA as part of a bursary when completing her PhD. She is currently a member of ISATT (International Study Association of Teachers and Teaching) and the Junior ...
Hosted on MSN

DevOps Made Easy – Learn Faster With This Simple Method

Learning DevOps doesn’t have to be overwhelming! In this video, I’ll walk you through a simple method that makes understanding DevOps concepts and tools much easier — especially if you're just ...
Reading Eagle

Everyday ethics: Learn the power of the Socratic method

Life seems upside down these days. Politicians choose their voters by redistricting, universities their missions by giving in to government demands, some newspapers and media networks follow the paths ...
IEEE

STF-GCN: A Multi-Domain Graph Convolution Network Method for Automatic Modulation Recognition via Adaptive Correlation

Abstract: Automatic Modulation Recognition (AMR) is an essential part of Intelligent Transportation System (ITS) dynamic spectrum allocation. However, current deep learning-based AMR (DL-AMR) methods ...
Scientific Research Publishing

Plunger Pump Fault Diagnosis Method Based on Wavelet Convolution and Multi-Head Self-Attention Mechanism for Multi-Channel Feature Fusion ()

To address the issues of low accuracy, high dependence on prior knowledge, and poor adaptability in fusing multi-channel features in existing plunger pump fault diagnosis methods, a new method based ...
GPS World

Machine learning boosts GPS precision: New method enhances ambiguity resolution

High-precision GNSS applications, such as real-time displacement monitoring and vehicle navigation, rely heavily on resolving carrier-phase ambiguities. However, traditional methods like the R-ratio ...