Streaks on Mercury show that it is not a 'dead planet'

Although Mercury was geologically active in its early days, today its surface appears almost completely static. This is why ...

Zscaler 2026 AI Threat Report: 91% Year-over-Year Surge in AI Activity Creates Growing Oversight Gap for Global Enterprises

News Highlights AI adoption is accelerating faster than enterprise oversight. Despite 200% AI usage growth in key sectors, many organizations ...
New York Post

Minnesota day care with $4M in state funding — and a misspelled sign — found with no kids inside as lawmakers demand answers from Walz

A YouTuber found no children inside a Minnesota day care that has received $4 million in state funding — and couldn’t even spell “learning” correctly on its own front door. The apparent revelation ...
Fox News

Misspelled learning center, no children inside: Emmer presses Walz over Minnesota daycare tied to $4M

The third-ranking leader in the House of Representatives, who also happens to hail from Minnesota, demanded answers from Gov. Tim Walz after a YouTuber tried to confront employees of an alleged ...
Beebom

What is the Difference Between Deep Learning and Machine Learning

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...
The Conversation

Jigsaw puzzles help make mathematics learning more active and fun

Francis Duah does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...
Beebom

AI vs Machine Learning: What is the Difference?

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
UMass Lowell

UML Certifies First Faculty in Technology Enhanced Active Learning

Associate Teaching Professor Cecil Joseph remembers the first time he taught physics in one of UMass Lowell’s Technology Enhanced Active Learning (TEAL) classrooms. Instead of facing rows of students ...
Frontiers

Robust detection framework for adversarial threats in Autonomous Vehicle Platooning

Introduction: The study addresses adversarial threats in Autonomous Vehicle Platooning (AVP) using machine learning. Methods: A novel method integrating active learning with RF, GB, XGB, KNN, LR, and ...
InfoWorld

AI and machine learning outside of Python

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
IEEE

Provable Active Multi-Task Representation Learning

Abstract: Multi-task representation learning is an emerging machine learning paradigm that integrates data from multiple sources, harnessing task similarities to enhance overall model performance. The ...