AI Researchers Propose A Method Using Irregular Pupil Shapes To Identify...
Computer-generated faces have lately improved to the point that they are difficult to tell apart from the real thing. That makes them a handy...
University of Tübingen Researchers Open-Source ‘CARLA’, A Python Library for Benchmarking...
Machine learning methods are applied to everyday life in various ways, from disease diagnostics, criminal justice and credit risk scoring. Machine learning models have...
MIT Researchers Introduce ‘MedKnowts’, A System That Combines Machine Learning And...
Electronic health records (EHRs) have become widely used in the hopes of saving time and improving patient care quality. Physicians, however, typically spend more...
Russian Bioinformaticians Have Created A Neural Network Architecture That Can Evaluate...
A novel neural network design to assess how successfully a guide RNA has been chosen for a gene-editing procedure. This methodology will allow for...
KAUST Researchers Introduce ‘OmniReduce’, A New Way To Improve Machine Learning...
Researchers from KAUST (King Abdullah University of Science and Technology) have found a new way to remarkably increase the training speed of machine learning...
Hierarchical Federated Learning-Based Anomaly Detection Using Digital Twins For Internet of...
Smart healthcare services can be provided by using Internet of Things (IoT) technologies that monitor the health conditions of patients and their vital body...
Israeli Researchers Unveil DeepSIM, a Neural Generative Model for Conditional Image...
In recent years, deep neural networks have been proven effective at performing image manipulation tasks for which large training datasets are available such as,...
A New AI Research Propose ‘UniFormer’ (Unified transFormer) to Unify Convolution...
For visual recognition, representation learning is a crucial research area. Essentially, researchers are confronted with two separate issues in visual data, such as photographs...
Researchers From Heidelberg and University of Bern Propose A New Method...
A technique to achieve quick and energy-efficient computing using the concept of spiking is ground-breaking in research. When the membrane potential, an attribute related...
Researchers Introduce ‘AugMax’: An Open-Sourced Data Augmentation Framework To Unify The...
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...