81 “Unseen Facts” For Everyone Who Enjoys Learning Something New Every Time They Go Online

If someone told you 20 years ago that we’d be gaining new information through mini-computers in our pockets, you would ...

Fuzheng Liu Examines Transformer-XL Modeling of E-Commerce User Behavior and Real-Time Behavioral Analysis

XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...
Psychology Today

Educational Psychology Improves Use of AI for Learning

Students will use AI. The challenge is teaching them to use it in ways that strengthen learning. Educational psychology ...
CNET

Google's Learn Your Way Is Yet Another AI-Powered Learning Tool

This AI-powered textbook tool for students personalizes your learning. But how does it differ from Learn About and NotebookLM ...
Edutopia

Creating Authentic Learning Experiences Within a Lesson

To help students see the value of what they’re learning, show them how the curriculum connects to the real world.
IEEE

Tactics and Techniques Text Classification Based on Adversarial Contrastive Learning and Meta-Path

Abstract: Tactics and techniques information in Cyber Threat Intelligence (CTI) represent the objectives of attackers and the means through which these objectives are achieved. The classification of ...
PC Tech Magazine

Best machine learning development companies for time series forecasting (2026)

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...
IEEE

Weighted Contrastive Learning With Hard Negative Mining for Positive and Unlabeled Learning

Abstract: Positive and unlabeled (PU) learning aims to train a suitable classifier simply based on a set of positive data and unlabeled data. The state-of-the-art methods usually formulate PU learning ...