Marktechpost

AUGUST 25, 2023

A team of researchers from Apple and the University of California, Santa Barbara created a direct inference of scene-level 3D geometry using deep neural networks, which didn’t involve the traditional method of test-time optimization. All Credit For This Research Goes To the Researchers on This Project.

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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 104

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AI Weekly

JULY 27, 2023

We asked chatGPT « to write an editorial for Annals of Rheumatic Diseases about how AI may replace the rheumatologist in editorial writing ». technode.com Research Top 10 Programming Languages for AI and Natural Language Processing In this article, we’ll discuss the top 10 programming languages for AI and Natural Language Processing.

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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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AI Weekly

MARCH 21, 2024

By analysing the appeal of these tools, we provide a framework for advancing discussions of responsible knowledge production in the age of AI. Join the AI conversation and transform your advertising strategy with AI weekly sponsorship This RSS feed is published on [link].

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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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Marktechpost

NOVEMBER 21, 2023

Their pioneering breakthrough, named Senseiver, showcases a neural network that achieves a remarkable feat: representing extensive data with minimal computational resources. The team developed a neural network that allows them to represent a large system in a very compact way.

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Heartbeat

DECEMBER 20, 2023

This blog aims to equip you with a thorough understanding of these powerful neural network architectures. Whether you’re a seasoned AI researcher or a budding enthusiast in machine learning, the insights offered here will deepen your understanding and guide you in leveraging the full potential of CNNs in various applications.

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Marktechpost

DECEMBER 15, 2023

This method involves the application of a generative neural network, specifically a Generative Adversarial Network (GAN), a form of AI. According to researchers, this is the reason for developing GAN, an AI-based generative neural network trained using high-resolution radar precipitation fields.

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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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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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Viso.ai

FEBRUARY 11, 2024

ImageNet Development Timeline 2006 – AI scientist Fei-Fei Li starts the ImageNet project. Most AI researchers are focused on AI algorithms, and Li wanted to enlarge and improve the image database for training computer vision models. Their theoretically-best performance is also superior to regular neural networks.

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AI Weekly

AUGUST 17, 2023

Liu Yang from the University of Chinese Academy of Sciences (UCAS), in collaboration with her colleagues from Renmin University of China and Massachusetts Institute of Technology, has proposed a novel network, namely, the physics-encoded recurrent convolutional neural network (PeRCNN). You can also subscribe via email.

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AI Weekly

DECEMBER 7, 2023

Connect with 5,000+ attendees including industry leaders, heads of state, entrepreneurs and researchers to explore the next wave of transformative AI technologies. theconversation.com Who will win the battle for AI in the cloud? Our findings revealed that the DCNN, enhanced by this specialised training, could surpass.

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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. If you like our work, you will love our newsletter.

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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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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. If you like our work, you will love our newsletter.

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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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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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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. If you like our work, you will love our newsletter. We are also on Telegram and WhatsApp.

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Marktechpost

SEPTEMBER 1, 2023

They found that the careful selection of algorithms significantly influences authentication performance, with Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) emerging as leaders in handling physiological and behavioral dynamics. If you like our work, you will love our newsletter.

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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. If you like our work, you will love our newsletter.

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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. If you like our work, you will love our newsletter.

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AI Weekly

JUNE 29, 2023

Launches Its First-in-a-Series of Reservoir Computers, Pioneering a New Era of Affordable and Sustainable AI QCi Embraces the Advantages of Edge Computing with a First-to-Market Portable Reservoir Computing Device LEESBURG, Va., techxplore.com Sponsor Your AI investing Co-Pilot With Pluto you can: ? You can also subscribe via email.

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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.

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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. If you like our work, you will love our newsletter. We are also on Telegram and WhatsApp.

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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. If you like our work, you will love our newsletter.

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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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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. If you like our work, you will love our newsletter.

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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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Viso.ai

DECEMBER 22, 2023

The Segment Anything Model (SAM), a recent innovation by Meta’s FAIR (Fundamental AI Research) lab, represents a pivotal shift in computer vision. The rise of SAM reflects a shift from foundational AI research to practical, scalable solutions for real-world applications.

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Marktechpost

JULY 5, 2023

More sophisticated deep learning algorithms like residual convolutional neural networks, U-nets, and vision transformers are also available. In the near future, the researchers intend to add support for new datasets, like CMIP6 (the sixth generation Climate Modeling Intercomparison Project).

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Marktechpost

AUGUST 15, 2023

Detecting these videos requires combining techniques like analyzing facial movements, textures, and temporal consistency, often utilizing machine learning like convolutional neural networks (CNNs). All Credit For This Research Goes To the Researchers on This Project.

Convolutional Neural Networks 52

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Marktechpost

JANUARY 13, 2024

To fill this gap, a new study by MBZUAI and Meta AI Research investigates model characteristics beyond ImageNet correctness. The researchers examine four top models in computer vision: ConvNeXt, which stands for ConvNet, and Vision Transformer (ViT), all trained using supervised and CLIP methods.

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Marktechpost

JULY 26, 2023

Automated brain lesion segmentation using convolutional neural networks (CNNs) has become a valuable clinical diagnosis and research tool. Don’t forget to join our 26k+ ML SubReddit , Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

Convolutional Neural Networks 52

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Marktechpost

JULY 23, 2023

Deep learning has significantly advanced face recognition models based on convolutional neural networks. All Credit For This Research Goes To Researchers on This Project. Also, don’t forget to join our Reddit page and discord channel , where we share the latest AI research news, cool AI projects, and more.

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Marktechpost

DECEMBER 19, 2023

In tackling the intricate task of predicting brain age, researchers introduce a groundbreaking hybrid deep learning model that integrates Convolutional Neural Networks (CNN) and Multilayer Perceptron (MLP) architectures. If you like our work, you will love our newsletter.

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