Monthly Archives: October, 2021

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Researchers From Edinburgh and Oxford Propose ‘Dist2Cycle’: A Simplicial Neural Network For Homology Localization

Background of GNNs and Simplicial Complexes A graph is a type of data structure that consists of two components, vertices, and edges. Graph Neural Network...

MIT’s Latest AI Research Using Deep Neural Networks Explains How The Brain Processes Language Works

Language Modelling utilizes various statistics and probability techniques to predict the sequence of words occurring in a sentence. These models are widely used in...

Yale Researchers Use Machine Learning To Identify Brain Networks Predictive Of Aggression In Children

Children's mental disorders are defined as significant changes in how children learn, behave, or handle their emotions. Many times these changes create discomfort and...

Researchers Introduce ‘AugMax’: An Open-Sourced Data Augmentation Framework To Unify The Two Aspects Of Diversity And Hardness

Data augmentation Data augmentation in machine learning is a technique that helps reduce overfitting. It increases the amount of data by adding slightly modified copies...

Apple AI Researchers Propose ‘Plan-then-Generate’ (PlanGen) Framework To Improve The Controllability Of Neural Data-To-Text Models

In recent years, developments in neural networks have led to the advance of data-to-text generation. However, their inability to control structure can be limiting...

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