Explore the latest peer-reviewed research with AI-generated summaries, key findings, and insights for easy understanding. All content is legally sourced from academic metadata with links to original papers.
This research explores review of the application of deep learning in intelligent fa..., contributing new insights to the field of Artificial Intelligence.
We study the capabilities of speech processing systems trained simply to predict large amounts of transcripts of audio on the internet. When compared to humans, the models approach their accuracy and...
This research explores K-means clustering algorithms: A comprehensive review, varia..., contributing new insights to the field of Artificial Intelligence.
Machine learning plays an increasingly important role in many areas of chemistry and materials science, being used to predict materials properties, accelerate simulations, design new structures, and p...
Natural Language Generation (NLG) has improved exponentially in recent years thanks to the development of sequence-to-sequence deep learning technologies such as Transformer-based language models. The...
In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS), which was organized in conjunction with the IEEE International Symposium on Biomedical Imaging (ISBI) 2...
Accurate whole-body multi-person pose estimation and tracking is an important yet challenging topic in computer vision. We show a significant improvement over current advanced methods in both speed an...
This research explores Artificial intelligence for the metaverse: A survey, contributing new insights to the field of Artificial Intelligence.
Multiple sequence alignments are widely used to infer evolutionary relationships, enabling inferences of structure, function, and phylogeny. Applied to the phylogeny of RNA viruses, ensemble analysis...
To ensure good performance, modern machine learning models typically require large amounts of quality annotated data. Different from previous surveys, we cover a more extensive array of modern techniq...
The industrial revolution has been the main cause ever since tremendous technological advancement was observed. Additionally, some key viewpoints in the field of AI have been listed along with the mai...
This research explores survey on federated learning: challenges and applications, contributing new insights to the field of Artificial Intelligence.
Deep semi-supervised learning is a fast-growing field with a range of practical applications. Then we provide a comprehensive review of 60 representative methods and offer a detailed comparison of the...
Abstract Convolutional architectures have proven to be extremely successful for vision tasks. We conclude by presenting various ablations to better understand the success of the ConViT.
Abstract Recent developments in Artificial Intelligence (AI) have generated great expectations for the future impact of AI in education and learning (AIED). In this article, we provide a review of exi...
In this paper, a new metaheuristic algorithm called the Coati Optimization Algorithm (COA) is introduced, which mimics coati behavior in nature. The simulation results indicate that COA has an evident...
This research explores IEEE/RSJ International Conference on Intelligent Robots and..., contributing new insights to the field of Artificial Intelligence.
Finetuning language models on a collection of datasets phrased as instructions has been shown to improve model performance and generalization to unseen tasks. We also publicly release Flan-T5 checkpoi...
Groundbreaking language-vision architectures like CLIP and DALL-E proved the utility of training on large amounts of noisy image-text data, without relying on expensive accurate labels used in standar...
This research explores Optical coherence tomography, contributing new insights to the field of Artificial Intelligence.