Marktechpost

JULY 14, 2023

This image representation comes under a broad category of Computer Vision and Convolutional Neural Networks. Researchers developed a Composed image retrieval (CIR) system to have a minimal loss, but the problem with this method was that it requires a large dataset for training the model.

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Convolutional Neural Networks AI Research AI Researcher Neural Network 97

AI Weekly

SEPTEMBER 12, 2024

ft.com OpenAI co-founder Sutskever's new safety-focused AI startup SSI raises $1 billion Safe Superintelligence (SSI), newly co-founded by OpenAI's former chief scientist Ilya Sutskever, has raised $1 billion in cash to help develop safe artificial intelligence systems that far surpass human capabilities, company executives told Reuters.

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Marktechpost

SEPTEMBER 29, 2024

In response, Google utilizes a deep neural network, CTG-net, to process the time-series data of fetal heart rate (FHR) and uterine contractions (UC) in order to predict fetal hypoxia. The CTG-net model utilizes a convolutional neural network (CNN) architecture to analyze FHR and UC signals, learning their temporal relationships.

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Deep Learning Convolutional Neural Networks AI Research AI Researcher 64

AI Weekly

OCTOBER 26, 2023

cryptopolitan.com Applied use cases Alluxio rolls out new filesystem built for deep learning Alluxio Enterprise AI is aimed at data-intensive deep learning applications such as generative AI, computer vision, natural language processing, large language models and high-performance data analytics.

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Neural Network Convolutional Neural Networks Robotics Deep Learning 202

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).

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Mlearning.ai

JULY 17, 2023

How taking inspiration from the brain can help us create Neural Networks. Data Scientists spend a lot of time and resources in improving the architecture of their AI Models. As such, there is a lot of research into figuring out different architectures and how different design decisions impact the performance of models.

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Marktechpost

JULY 21, 2023

In Study 1, researchers used the facial emotion detection method to analyze the emotional features from the recorded video frames. The Multi-Task Convolutional Neural Network (MTCNN) and VGG19 neural network were used for facial detection and emotional recognition, respectively.

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Convolutional Neural Networks Machine Learning AI Research AI Researcher 98

Unite.AI

OCTOBER 22, 2024

We use Big O notation to describe this growth, and quadratic complexity O(n²) is a common challenge in many AI tasks. AI models like neural networks , used in applications like Natural Language Processing (NLP) and computer vision , are notorious for their high computational demands.

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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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Convolutional Neural Networks Neural Network AI Research AI Researcher 98

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 105

Machine Learning AI Research AI Researcher Convolutional Neural Networks 105

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 110

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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Convolutional Neural Networks Neural Network Robotics Natural Language Processing 210

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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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

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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Mlearning.ai

JULY 20, 2023

In case you missed it, make sure you catch part 1 of this series- A Neuroscientists view into Improving Neural Networks - where we talked about the biological basis of bilaterality and how the asymmetric nature of our brains leads to greater performance. If any of you want to work on this, you know how to reach me. Simply put- yes.

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Neural Network Machine Learning Convolutional Neural Networks Software Engineer 52

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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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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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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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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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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Convolutional Neural Networks ChatGPT Robotics AI Modeling 207

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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Kavita Ganesan

JANUARY 27, 2022

It provides an introduction to deep neural networks in Python. Andrew is an expert on computer vision, deep learning, and operationalizing ML in production at Google Cloud AI Developer Relations. Neural Network Basics We will start with some basics on neural networks. Everything is a number.

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Neural Network Python Deep Learning Convolutional Neural Networks 52

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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Convolutional Neural Networks AI Modeling Computer Vision Neural Network 137

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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Convolutional Neural Networks Computer Vision Neural Network Deep Learning 52

Marktechpost

JULY 16, 2023

The Vision Transformer (ViT) rapidly replaces convolution-based neural networks because of its simplicity, flexibility, and scalability. Feeding data into a deep neural network during training and operation in batches is common practice. All Credit For This Research Goes To the Researchers on This Project.

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Convolutional Neural Networks Neural Network Computer Vision Natural Language Processing 98

Marktechpost

DECEMBER 24, 2023

Deep Learning: This branch of machine learning involves convolutional neural networks (CNN), which have gained prominence due to their ability to extract features from images automatically, reducing the reliance on manual feature engineering. All credit for this research goes to the researchers of this project.

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Machine Learning Convolutional Neural Networks Neural Network Deep Learning 119

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.

Deep Learning 98

Deep Learning Convolutional Neural Networks Automation Neural Network 98

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.

Deep Learning 104

Deep Learning Machine Learning Algorithm Convolutional Neural Networks 104

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.

AI Research 59

AI Research AI Researcher Convolutional Neural Networks Computer Vision 59

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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Convolutional Neural Networks BERT Neural Network Machine Learning 124

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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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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Convolutional Neural Networks Computer Vision Neural Network AI Research 105

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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Algorithm ChatGPT Convolutional Neural Networks Robotics 182

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

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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