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"RealWaste: A Novel Real-Life Data Set for Landfill Waste Classificatio" by Sam Single, Saeid Iranmanesh et al.

The accurate classification of landfill waste diversion plays a critical role in efficient waste management practices. Traditional approaches, such as visual inspection, weighing and volume measurement, and manual sorting, have been widely used but suffer from subjectivity, scalability, and labour requirements. In contrast, machine learning approaches, particularly Convolutional Neural Networks (CNN), have emerged as powerful deep learning models for waste detection and classification. This paper analyses VGG-16, InceptionResNetV2, DenseNet121, Inception V3, and MobileNetV2 models to classify real-life waste when trained on pristine and unadulterated materials, versus samples collected at a landfill site. When training on DiversionNet, the unadulterated material dataset with labels required for landfill modelling, classification accuracy was limited to 49.69% in the real environment. Using real-world samples in the newly formed RealWaste dataset showed that practical applications for d ....

Convolutional Neural Networks , Convolution Neural Networks , Deep Learning , Landfill Waste , Machine Learning , Waste Management ,

This new AI calculator predicts human death with 78% accuracy, details inside

In a groundbreaking development in the field of Artificial Intelligence (AI), researchers at the Technical University of Denmark have unveiled Life2vec, an AI-based death predictor with a remarkable 78 percent accuracy in forecasting lifespans. ....

Sune Lehmann , Technical University Of Denmark , Artificial Intelligence , Technical University ,

Meta secures partial dismissal of Silverman AI suit

A federal judge is set to partially dismiss copyright lawsuit brought forward by authors | Allegations of copyright infringement related to its language model | Judge argues AI output is not a copy of the authors works. ....

Meta Platforms , Sarah Silverman ,

FTC says AI outputs may constitute unfair competition

Agency submits wide-ranging comment on AI to the US Copyright Office | Concerns over consumer protection, transparency, deceptive practices and unfair competition | AI developers’ user copyright protection schemes may face sanctions. ....

T Schneider Shutterstock , Us Copyright Office , Us Copyright Office , Creative Industry ,