In 2026, 5 Big Trends Will Shape Education

Here are five big things that will shape education in 2026 and define whether our systems are ready for what comes next.
GitHub

SiamSeg: Self-Training with Contrastive Learning for Unsupervised Domain Adaptation Semantic Segmentation in Remote Sensing

Prediction results of our proposed method. Network Architectural and Cross-domain Image Different. torch=1.10.2,torchvision=0.11.3 and mmcv-full=1.5.0. Recommended use of conda virtual environments ...
Security Boulevard

NDSS 2025 – Probe-Me-Not: Protecting Pre-trained Encoders From Malicious Probing

Ruyi Ding (Northeastern University), Tong Zhou (Northeastern University), Lili Su (Northeastern University), Aidong Adam Ding (Northeastern University), Xiaolin Xu (Northeastern University), Yunsi Fei ...

Word embeddings in NLP

We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...
EurekAlert!

ETRI releases no-code machine learning development tools

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
Frontiers

VAE deep learning model with domain adaptation, transfer learning and harmonization for diagnostic classification from multi-site neuroimaging data

In large public multi-site fMRI datasets, the sample characteristics, data acquisition methods, and MRI scanner models vary across sites and datasets. This non-neural variability obscures neural ...
IEEE

Enhancing Deep Learning-Based GPR Data Inversion With Unsupervised Domain Adaptation: Comparison of Domain Classifiers

Abstract: Deep neural network (DNN)-based inversion of ground penetrating radar (GPR) data is gaining significant attention, primarily using simulated data for training due to the lack of ground truth ...
IEEE

Federated Domain-Independent Prototype Learning With Alignments of Representation and Parameter Spaces for Feature Shift

Abstract: Federated learning provides a privacy-preserving modeling schema for distributed data, which coordinates multiple clients to collaboratively train a global model. However, data stored in ...
GitHub

Learning Dual-Domain Multi-Scale Representations for Single Image Deraining

Abstract: Existing image deraining methods typically rely on single-input, single-output, and single-scale architectures, which overlook the joint multi-scale information between external and internal ...
Frontiers

Mind over matter: consistency monitoring and domain-specific learning

Introduction: Children's naïve understanding of the physical world is permeated with inconsistencies among beliefs. For example, young children who believe that air does not occupy space also believe ...
Surfline

“All You Need Is Three Waves”: Learning Again

In September 2023, my commitment to surfing intensified. Trying to fast-track my surfing skills, I’d received the same simple advice over and over: surf every day. It motivated me to sign up for ...