AI-Generated Mental Health Advice Must Shift From Discrete-Classifications To Continuous Multidimensional Psychological Analyses

Mental health is not to be reduced to simple discrete classifications, but that's what AI is doing to us. AI can be ...
Tech Xplore

Using causal AI to amplify sustainability in the textile industry

With the textile industry facing mounting scrutiny over the environmental impacts of fast fashion, two researchers from ...
Waste Advantage Magazine

Why Connected Intelligence Will Decide Who Survives the Next Decade in Waste

By adopting a Data-First approach, you can build connected intelligence while providing AI analysis to automate ...
Frontiers

Advances in machine and deep learning for ECG beat classification: a systematic review

The electrocardiogram (ECG) is an important tool for exploring the structure and function of the heart due to its low cost, ease of use, efficiency, and non-invasive nature. With the rapid development ...
Beebom

Gemini Gets a ‘Guided Learning’ Mode for Students; Here’s How to Use It

Google has added a 'Guided Learning' mode in Gemini to promote deeper understanding of complex topics and concepts. It's available for free to all Gemini users. You can upload your course materials, ...
IEEE

A Novel Approach for Waste Classification Using Active Deep Learning

Abstract: Classification of waste on a large scale is complicated, making it difficult to sort and recycle the waste. Many existing systems use models like CNN and architectures such as ResNet, ...
IEEE

Waste Classification and Monitoring Using Yolov8 A Deep Learning Object Detection Technique

Abstract: With rapid urbanization and population growth, effective waste management has become an important issue worldwide. Increasing waste generation poses serious risks to the environment, economy ...