AWS Machine Learning Blog

MARCH 21, 2025

JupyterLab applications flexible and extensive interface can be used to configure and arrange machine learning (ML) workflows. He is passionate about applying cloud technologies and ML to solve real life problems. We use JupyterLab to run the code for processing formulae and charts. samples/2003.10304/page_0.png'

Metadata 110

Metadata Convolutional Neural Networks Generative AI Data Scientist 110

Marktechpost

SEPTEMBER 4, 2023

Recent advancements in deep neural networks have enabled new approaches to address anatomical segmentation. For instance, state-of-the-art performance in the anatomical segmentation of biomedical images has been attained by deep convolutional neural networks (CNNs). Check out the Paper and Github.

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Convolutional Neural Networks Neural Network Deep Learning AI 126

Marktechpost

OCTOBER 11, 2023

Studies now investigate if building AI research agents with similar capabilities is possible. To evaluate AI research agents with free-form decision-making capabilities, researchers from Stanford University propose MLAgentBench, the first benchmark of its kind. Join our AI Channel on Whatsapp.

Machine Learning 103

Machine Learning AI Researcher AI Research Convolutional Neural Networks 103

Marktechpost

JULY 21, 2023

Researchers experimented in two stages: interview conversation under three topics (self-introduction topic, supervisor topic, and campus life topic) and a questionnaire evaluation. In Study 1, researchers used the facial emotion detection method to analyze the emotional features from the recorded video frames.

Machine Learning 98

Machine Learning Convolutional Neural Networks AI Researcher AI Research 98

Marktechpost

SEPTEMBER 12, 2023

It leverages the capabilities of deep learning models, such as Generative Adversarial Networks (GANs) and Convolutional Neural Networks (CNNs). All Credit For This Research Goes To the Researchers on This Project. Check out the Paper , Code , and Project Page.

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Convolutional Neural Networks AI Modeling Computer Vision Neural Network 135

Marktechpost

NOVEMBER 16, 2023

A new research paper presents a deep learning-based classifier for age-related macular degeneration (AMD) stages using retinal optical coherence tomography (OCT) scans. The two-stage convolutional neural network accurately classified macula-centered 3D volumes into four classes: Normal, iAMD, GA, and nAMD.

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Deep Learning Convolutional Neural Networks Neural Network Categorization 107

Marktechpost

AUGUST 25, 2023

The researcher’s approach features the images onto a voxel grid and directly predicts the scene’s truncated signed distance function (TSDF) using a 3D convolution neural network. All Credit For This Research Goes To the Researchers on This Project. Check out the Paper and Github link.

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Convolutional Neural Networks Neural Network AI Research AI Researcher 98

Marktechpost

DECEMBER 29, 2023

To overcome these obstacles and raise the precision and adaptability of awn analysis, the research team suggests enlarging the training set and investigating different convolutional neural network (CNN) models. Researchers used binary cross-entropy loss and Dice Coefficient (DC) for training and validating the model.

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Deep Learning Automation Convolutional Neural Networks Neural Network 129

Marktechpost

JUNE 30, 2023

The first step depends on using a detector based on a Convolutional Neural Network (CNN). They show that a real-time model for any arbitrary data segment is feasible using the computational efficiency of convolutional neural networks (CNNs). Segmentation masks for each instance in the image are generated.

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Convolutional Neural Networks Neural Network AI Tools AI Research 103

Marktechpost

OCTOBER 21, 2023

These models were the basis for the generative AI tools mentioned above and were trained on an enormous cloud of powerful graphics processing units (GPUs). All Credit For This Research Goes To the Researchers on This Project. Join our AI Channel on Whatsapp. Check out the Paper. We are also on WhatsApp.

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Artificial Intelligence Artificial Intelligence Convolutional Neural Networks Neural Network 131

Marktechpost

NOVEMBER 30, 2023

The research outlines the development of a machine learning-based binary classifier capable of detecting an elusive icosahedral quasicrystal (i-QC) phase from multiphase powder X-ray diffraction patterns. The researchers constructed a binary classifier employing 80 convolutional neural networks.

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Deep Learning Convolutional Neural Networks Neural Network Machine Learning 105

Marktechpost

OCTOBER 1, 2023

This is because, whereas the size of the convolutional kernel constrains convolutional neural networks (CNNs) and can only extract local information, self-attention can remove global information from the picture, delivering adequate and meaningful visual characteristics. Check out the Paper.

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Convolutional Neural Networks Neural Network Data Quality AI Research 133

Marktechpost

NOVEMBER 15, 2023

An adaptive softmax Convolutional Neural Network (CNN) kernel is utilized in the lower blocks, with its kernel size determined by the timestep and speaker. All credit for this research goes to the researchers of this project. Check out the Paper and Project Page. We are also on Telegram and WhatsApp.

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BERT Convolutional Neural Networks Neural Network Machine Learning 120

Marktechpost

NOVEMBER 21, 2023

The team developed a neural network that allows them to represent a large system in a very compact way. All credit for this research goes to the researchers of this project. The post Revolutionizing Data Reconstruction: AI’s Compact Solution for Broad Information Retrieval appeared first on MarkTechPost.

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Convolutional Neural Networks Neural Network Artificial Intelligence Artificial Intelligence 103

Marktechpost

DECEMBER 24, 2023

By addressing the limitations observed in prior surveys, this comprehensive study aims to bridge the gap by encompassing a broader spectrum of ML techniques, from traditional to deep learning and augmented learning. All credit for this research goes to the researchers of this project. Check out the Paper.

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Machine Learning Convolutional Neural Networks Neural Network Deep Learning 117

Marktechpost

JUNE 15, 2023

Convolutional neural networks can use Images with translational symmetry, and permutation symmetry in graphs can be used by graph neural networks. Theoretical research and practical methods for constructing general group equivariant neural networks have seen a recent uptick in interest.

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Convolutional Neural Networks Neural Network Deep Learning AI Tools 98

Marktechpost

OCTOBER 10, 2023

Its applications are used in many fields, such as image and speech recognition for language processing, object detection, and medical imaging diagnostics; finance for algorithmic trading and fraud detection; autonomous vehicles using convolutional neural networks for real-time decision-making; and recommendation systems for personalized content.

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Deep Learning Convolutional Neural Networks Neural Network Computer Vision 85

Marktechpost

DECEMBER 15, 2023

Compared to trilinear interpolation and a classical convolutional neural network, the generative model reconstructs the resolution-dependent extreme value distribution with high skill. All credit for this research goes to the researchers of this project. It showed a high fractions skill score of 0.6

Deep Learning 103

Deep Learning Convolutional Neural Networks Neural Network Artificial Intelligence 103

Marktechpost

DECEMBER 15, 2023

CNNs (Convolutional neural networks) have become a popular technique for image recognition in recent years. However, new challenges have emerged as these networks have grown more complex. All credit for this research goes to the researchers of this project. Check out the Paper and Project.

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Data Analysis Convolutional Neural Networks Neural Network AI 111

Marktechpost

SEPTEMBER 1, 2023

’ The authors concluded that their extensive investigation into deep learning (DL) and machine learning (ML) algorithms in the context of biometric authentication yielded crucial insights. All Credit For This Research Goes To the Researchers on This Project. Check out the Paper.

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Deep Learning Machine Learning Algorithm Convolutional Neural Networks 103

Marktechpost

SEPTEMBER 29, 2024

Some machine learning (ML) models have been used to improve CTG interpretation, but these models often extract diagnostic features based on rules that reduce the richness of CTG time-series data. The CTG-net model utilizes a convolutional neural network (CNN) architecture to analyze FHR and UC signals, learning their temporal relationships.

Deep Learning 60

Deep Learning Convolutional Neural Networks AI Researcher AI Research 60

Marktechpost

OCTOBER 30, 2023

Researchers have challenged the prevailing belief in the field of computer vision that Vision Transformers (ViTs) outperform Convolutional Neural Networks (ConvNets) when given access to large web-scale datasets. All Credit For This Research Goes To the Researchers on This Project. Check out the Paper.

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Convolutional Neural Networks Computer Vision Neural Network AI Researcher 103

Marktechpost

JUNE 24, 2023

They also evaluate the method against a state-of-the-art convolutional neural network (CNN) model used for forensic picture classification and find that their methods perform better. According to the team, their method can be easily compromised by a cropping attack, which is a major disadvantage.

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Convolutional Neural Networks Neural Network Artificial Intelligence Artificial Intelligence 107

Marktechpost

NOVEMBER 10, 2023

In image recognition, researchers and developers constantly seek innovative approaches to enhance the accuracy and efficiency of computer vision systems. All credit for this research goes to the researchers of this project. Check out the Paper. If you like our work, you will love our newsletter.

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Convolutional Neural Networks Computer Vision Natural Language Processing Neural Network 107

Marktechpost

JULY 18, 2023

The first stage employs a Convolutional Neural Network (CNN)-based detector to produce segmentation masks for all instances in the image. All Credit For This Research Goes To the Researchers on This Project. This AI Approach Speeds Up the SAM Model appeared first on MarkTechPost. Check out the Paper.

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Convolutional Neural Networks Computer Vision Neural Network Algorithm 98

Marktechpost

SEPTEMBER 12, 2023

Modern algorithms for fine-grained image classification frequently rely on convolutional neural networks (CNN) and vision transformers (ViT) as their structural basis. All Credit For This Research Goes To the Researchers on This Project. Check out the Paper and Github.

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Convolutional Neural Networks Categorization Neural Network Deep Learning 107

Marktechpost

JULY 16, 2023

Due to this and the inherent architectural constraints of convolutional neural networks, it has become common practice to either resize or pad images to a predetermined size. All Credit For This Research Goes To the Researchers on This Project. Check out the Paper.

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Convolutional Neural Networks Neural Network Computer Vision Natural Language Processing 98

Marktechpost

DECEMBER 12, 2023

The FGS has been used to predict facial landmark placements and pain scores by utilizing deep neural networks and machine learning models. All credit for this research goes to the researchers of this project. Check out the Paper. If you like our work, you will love our newsletter.

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Deep Learning Automation Convolutional Neural Networks Neural Network 98

Marktechpost

SEPTEMBER 17, 2023

Using the dilated convolutional neural network architecture first seen in the CARP protein masked language model, they trained all EvoDiff sequence models on 42M sequences from UniRef50. All Credit For This Research Goes To the Researchers on This Project. Check out the Preprint Paper and GitHub.

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Neural Network Convolutional Neural Networks AI AI 141

Marktechpost

JUNE 22, 2023

Paella utilizes a pre-trained encoder-decoder architecture based on a convolutional neural network, with the capacity to represent a 256×256 image using 256 tokens selected from a set of 8,192 tokens learned during pretraining. The model was trained on 900 million image-text pairs from LAION-5B aesthetic dataset.

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Convolutional Neural Networks AI Modeling Neural Network AI Tools 107

Marktechpost

JUNE 19, 2023

For instance, convolutional neural networks (CNNs) and other progressive architectures such as Mask R-CNN are used for instance segmentation. Don’t forget to join our 24k+ ML SubReddit , Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

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AI Researcher AI Research Convolutional Neural Networks Computer Vision 56

Marktechpost

DECEMBER 11, 2024

By integrating satellite data, dynamic global vegetation models, and ocean model emulators, the research team developed a near-instantaneous carbon sink model capable of predicting carbon budgets with unprecedented speed and accuracy. All credit for this research goes to the researchers of this project.

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Convolutional Neural Networks Neural Network AI AI 75

Marktechpost

JUNE 27, 2023

They rely on massive visual training data in convolutional neural networks. Don’t forget to join our 17k+ ML SubReddit , Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence AI Chatbots Chatbots 98

Marktechpost

JULY 5, 2023

More sophisticated deep learning algorithms like residual convolutional neural networks, U-nets, and vision transformers are also available. Introducing ClimateLearn, a new PyTorch library for accessing climate datasets, state-of-the-art ML models, and high quality training and visualization pipelines.

Machine Learning 98

Machine Learning Python Convolutional Neural Networks Neural Network 98

Marktechpost

JUNE 27, 2023

They have a suite of AI-powered picture editing tools that can do everything from upscaling to sharpening to denoising, removing the background, restoring old photos, and retouching them. Deep Convolutional Neural Networks (DCNN) trained on millions of photos power VanceAI’s A.I.

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AI Tools Convolutional Neural Networks Artificial Intelligence Artificial Intelligence 102

The MLOps Blog

NOVEMBER 14, 2023

This is where visualizations in ML come in. Visualizing deep learning models can help us with several different objectives: Interpretability and explainability: The performance of deep learning models is, at times, staggering, even for seasoned data scientists and ML engineers. Which one is right for you depends on your goal.

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Deep Learning Neural Network Convolutional Neural Networks Data Scientist 111

Marktechpost

OCTOBER 16, 2023

All Credit For This Research Goes To the Researchers on This Project. Also, don’t forget to join our 31k+ ML SubReddit , 40k+ Facebook Community, Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more. Join our AI Channel on Whatsapp.

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Algorithm Convolutional Neural Networks AI AI 120