Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically. Classic models like regression, decision trees, and KNN remain important in modern AI ...

The popular MNIST dataset is used for the digit recognition task using different machine learning algorithms such as KNN and SVM with HOG features. A simple feed-forward neural network is also used ...

This work includes two high performance recognizers. The SVM based recognizer has an accuracy of 90%. It first applies projection-based algorithm to the input image, then use a pre-trained SVM model ...

The National Research Council of Canada's Applied Quantum Computing (AQC) Challenge program is launching a call for proposals to support Canada's National Quantum Strategy. The call aims to enable ...

Psychrophilic enzymes are a class of macromolecules with high catalytic activity at low temperatures. Cold-active enzymes possessing eco-friendly and cost-effective properties, are of huge potential ...

TOC can not only generate gas but also provide the main space for gas storage. The structure of the organic matters within the connected and isolated pore network is essential for gas storage capacity ...

More widespread use of predictive-policing software may eventually lead criminals to change their habits and become less consistent in their behavior. But for now, building capacity to predict ...

Compared to liquid electrolytes, lithium solid-state electrolytes have received increased attention in the field of all-solid-state lithium ion batteries due to safety requirements and higher energy ...

We are in the midst of an artificial intelligence (AI) revolution. With the rapid development of deep learning and machine learning algorithms in recent years, the application of AI in diagnosis, risk ...