The Economist

AI models’ values are very different from most people’s

Had you queried DeepSeek, a Chinese AI, however, you would have got quite different advice. “Seek compromise,” it suggests, ...

Researchers develop new 'emotionally aware' model for classifying mental health conditions

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...
GitHub

RSMamba: Remote Sensing Image Classification with State Space Model

This repository is the code implementation of the paper RSMamba: Remote Sensing Image Classification with State Space Model, which is based on the MMPretrain project. The current branch has been ...
Statistics Canada

Revising the National Occupational Classification (NOC) 2021 Version 1.0 to NOC 2026 Version 1.0

In September 2021 the NOC 2021 Version 1.0 was released. The NOC for 2026 will be released in December of 2026.The NOC is jointly developed by Employment and Social Development Canada (ESDC) and ...
Argus Leader

Find out what a new SDHSAA classification model could look like

The South Dakota High School Activities Association (SDHSAA) discussed a new model for classifying teams at its Board of Directors meeting on Jan. 21, but Executive Director Dan Swartos said the new ...
GitHub

This code example demonstrates how to perform gesture classification based on motion sensor (accelerometer and gyroscope) data. The code example comes with a pre-trained model ...

For more details, see the ModusToolbox™ Machine Learning solution. Install the Python interpreter and add it to the top of the system path in environmental variables. This code example is tested with ...
Nature

Human-readable classification of astronomical images using large language models

Modern sky surveys capture millions of potential changes in the night sky each night — some are real cosmic events (such as supernovae, stellar flares, tidal-disruption events, microlensing, ...
IEEE

Toward a Better Tradeoff Between Accuracy and Robustness for Image Classification via Adversarial Feature Diversity

Abstract: Deep neural network-based image classification models are vulnerable to adversarial examples, which are meticulously crafted to mislead the model by adding perturbations to clean images.
International Paralympic Committee

Classification Code

Prior to the start of the 21st century, there were no agreed unifying principles to guide the establishment and development of Para sport classification systems. Classification policies and procedures ...
Scientific Research Publishing

Image Classification Based on Vision Transformer ()

This research introduces an innovative approach to image classification, by making use of Vision Transformer (ViT) architecture. In fact, Vision Transformers (ViT) have emerged as a promising option ...
The Conversation

Australia’s media classification system is no help to parents and carers. It needs a grounding in evidence

In the era of proliferating streaming platforms, choosing what to watch on family movie night can be hard. Parents have a greater need than ever for good advice to help them narrow down the options, ...
The Straits Times

Some first-timer families to get priority for Standard HDB flats across S’pore under new classification

SINGAPORE - Some first-timer families will get first priority when applying for four-room or smaller Standard Build-To-Order (BTO) flats across Singapore under the new flat classification, compared ...