Marktechpost

FEBRUARY 12, 2024

Deep convolutional neural networks (DCNNs) have been a game-changer for several computer vision tasks. Network depth and convolution are the two primary components of a DCNN that determine its expressive power. Join our 36k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup.

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AI Weekly

SEPTEMBER 12, 2024

In the News AI Stocks: The 10 Best AI Companies Artificial intelligence, automation and robotics are disrupting virtually every industry. reuters.com Here’s what your iPhone 16 will do with Apple Intelligence — eventually Apple Intelligence will miss the launch of the new iPhones, but here’s what’s coming in the iOS 18.1

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Unite.AI

SEPTEMBER 21, 2023

The crossover between artificial intelligence (AI) and blockchain is a growing trend across various industries, such as finance, healthcare, cybersecurity, and supply chain. What is Artificial Intelligence (AI)? Artificial intelligence enables computer programs to mimic human intelligence.

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AI News

JULY 27, 2023

Gcore trained a Convolutional Neural Network (CNN) – a model designed for image analysis – using the CIFAR-10 dataset containing 60,000 labelled images, on these devices. The results were striking, with IPUs and GPUs significantly outperforming CPUs in training speed.

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Marktechpost

JANUARY 13, 2024

Join our 36k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup. They recommend the use of CLIP models in the event of a significant domain transition. Check out the Paper, Project, and Github. All credit for this research goes to the researchers of this project. Also, don’t forget to follow us on Twitter.

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Marktechpost

JULY 15, 2024

Don’t Forget to join our 46k+ ML SubReddit The post Exploring Robustness: Large Kernel ConvNets in Comparison to Convolutional Neural Network CNNs and Vision Transformers ViTs appeared first on MarkTechPost. Join our Telegram Channel and LinkedIn Gr oup. If you like our work, you will love our newsletter.

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AI Weekly

MARCH 21, 2024

Read the blog] global.ntt In The News Mustafa Suleyman: the new head of Microsoft AI with concerns about his trade Like many artificial intelligence pioneers, Mustafa Suleyman has expressed concerns about a technology he has played an important role in developing. technology, potentially becoming the largest player in the hot market.

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Marktechpost

SEPTEMBER 18, 2024

Traditional machine learning methods, such as convolutional neural networks (CNNs), have been employed for this task, but they come with limitations. Moreover, the scale of the data generated through microscopic imaging makes manual analysis impractical in many scenarios. If you like our work, you will love our newsletter.

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Marktechpost

SEPTEMBER 10, 2023

Graph-based ML models also lose important details about where the things are placed when molecules stick to each other. Also, don’t forget to join our 30k+ ML SubReddit , 40k+ Facebook Community, Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

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Marktechpost

MARCH 30, 2024

The methodology behind Mini-Gemini involves a dual-encoder system that includes a convolutional neural network for refined image processing, enhancing visual tokens without increasing their number. It utilizes patch info mining for detailed visual cue extraction. If you like our work, you will love our newsletter.

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Marktechpost

OCTOBER 21, 2023

An entirely new way of thinking about visual computing has emerged with the rise of generative artificial intelligence (AI). 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.

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Marktechpost

JANUARY 20, 2025

Advancements in artificial intelligence make image analysis combined with natural language processing the key to changing the landscape of radiology workflows regarding efficiency, consistency, and accuracy of diagnostics. Dont Forget to join our 65k+ ML SubReddit.

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Marktechpost

JANUARY 30, 2025

Contrastingly, agentic systems incorporate machine learning (ML) and artificial intelligence (AI) methodologies that allow them to adapt, learn from experience, and navigate uncertain environments. Image Embeddings: Convolutional neural networks (CNNs) or vision transformers can transform images into dense vector embedding.

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Marktechpost

MARCH 16, 2025

These methods utilize 3D convolutional neural networks (CNNs) for cost filtering but struggle with generalization beyond their training data. Also,feel free to follow us on Twitter and dont forget to join our 80k+ ML SubReddit. Check out the Paper and GitHub Page.

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Towards AI

JULY 9, 2024

Advances in artificial intelligence and machine learning have led to the development of increasingly complex object detection algorithms, which allow us to efficiently and precisely interpret large volumes of geographical data. What is Object Detection?

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Marktechpost

NOVEMBER 21, 2024

The emergence of generative artificial intelligence paradigms is now further expanding the computational landscape. Modern artificial intelligence primarily revolves around machine learning, a discipline focused on algorithms that extract and utilize information from datasets.

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Marktechpost

SEPTEMBER 24, 2024

Don’t Forget to join our 50k+ ML SubReddit FREE AI WEBINAR: ‘SAM 2 for Video: How to Fine-tune On Your Data’ (Wed, Sep 25, 4:00 AM – 4:45 AM EST) The post Revolutionizing Image Classification: Training Large Convolutional Neural Networks on the ImageNet Dataset appeared first on MarkTechPost.

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Unite.AI

NOVEMBER 6, 2023

With these advancements, it’s natural to wonder: Are we approaching the end of traditional machine learning (ML)? The two main types of traditional ML algorithms are supervised and unsupervised. Data Preprocessing and Feature Engineering: Traditional ML requires extensive preprocessing to transform datasets as per model requirements.

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Marktechpost

JUNE 27, 2023

Artificial intelligence (AI) has made considerable advances over the past few years, becoming more proficient at activities previously only performed by humans. The phenomenon known as artificial intelligence hallucination happens when an AI model produces results that are not what was anticipated.

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Marktechpost

FEBRUARY 3, 2024

Traditional convolutional neural networks (CNNs) often struggle to capture global information from high-resolution 3D medical images. One proposed solution is the utilization of depth-wise convolution with larger kernel sizes to capture a wider range of features. Check out the Paper and Github.

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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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Marktechpost

MARCH 21, 2025

Leveraging pretrained convolutional neural networks (CNNs), this approach empowers users to swiftly analyze satellite images to identify and categorize disaster-affected areas, such as floods, wildfires, or earthquake damage. Dont Forget to join our 85k+ ML SubReddit. Here is the Colab Notebook.

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Pickl AI

APRIL 9, 2025

Summary: Artificial Intelligence (AI) and Deep Learning (DL) are often confused. AI vs Deep Learning is a common topic of discussion, as AI encompasses broader intelligent systems, while DL is a subset focused on neural networks. Both Drive Technological Innovation: Transform industries with intelligent systems.

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Towards AI

JULY 19, 2023

How to Start Your ML Journey? | | Results from LinkedIn Polls Photo by Susan Q Yin / Unsplash Someone trying to start their ML journey would be confused about where to start. A few ML Memes that I found funny. Hence, I conducted polls in different ML groups for the two questions. What is important?

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Marktechpost

JULY 21, 2023

Stanford Human-Centered Artificial Intelligence (HAI) researchers claim that biologically inspired neural architecture can be used to understand the emergence of number sense. Instead of using convolution neural networks, they used a number-DNN (nDNN) model with a biologically more plausible architecture.

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Unite.AI

AUGUST 29, 2023

In the past few years, Artificial Intelligence (AI) and Machine Learning (ML) have witnessed a meteoric rise in popularity and applications, not only in the industry but also in academia. It’s the major reason why its difficult to build a standard ML architecture for IoT networks.

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Marktechpost

MARCH 10, 2025

Convolutional neural networks exemplify this approach by imposing hard constraints like locality and translation equivariance on MLPs through parameter removal and sharing. Convolutional neural networks could fit random image labels while maintaining strong performance on structured image recognition tasks.

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Marktechpost

OCTOBER 8, 2024

The 2024 Nobel Prize in Physics has been awarded to two pioneering figures in the field of artificial intelligence: John J. John Hopfield’s Contribution John Hopfield’s early contributions focused on creating an artificial neural network that could function as an associative memory, storing and reconstructing patterns.

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Marktechpost

MAY 7, 2024

The system incorporates fifteen convolutional neural networks (CNNs) for feature extraction, each tailored to capture different aspects of the EEG signals and a bidirectional long-short-term memory (BiLSTM) network for sequence classification. Also, don’t forget to follow us on Twitter.

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Towards AI

MAY 9, 2024

I tried to make that part easier with this GitHub Repository I created for those without any background in the field: a complete guide to start and improve in ML and AI. 7 Best Machine Learning Workflow and Pipeline Orchestration Tools by Eryk Lewinson This article briefly describes ML workflows and pipelines. Meme of the week!

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Marktechpost

APRIL 27, 2024

Historically, recurrent neural networks (RNNs) and convolutional neural networks (CNNs) have been employed to manage these predictions. While RNNs are adept at processing data sequentially, they often fall short in speed and struggle with long-term dependencies. Also, don’t forget to follow us on Twitter.

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Marktechpost

NOVEMBER 21, 2023

In a recent development, a team of researchers at Los Alamos National Laboratory has pioneered a cutting-edge artificial intelligence (AI) approach, opening doors for unprecedented efficiency in data processing. The team developed a neural network that allows them to represent a large system in a very compact way.

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Marktechpost

NOVEMBER 16, 2023

Utilizing a two-stage convolutional neural network, the model classifies macula-centered 3D volumes from Topcon OCT images into Normal, early/intermediate AMD (iAMD), atrophic (GA), and neovascular (nAMD) stages. The study successfully developed an automated deep learning-based AMD detection and staging system using OCT scans.

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Mlearning.ai

MAY 21, 2023

CNNs with random weights are very useful even without training! Continue reading on MLearning.ai »

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Viso.ai

DECEMBER 19, 2023

Today, the use of convolutional neural networks (CNN) is the state-of-the-art method for image classification. With the Internet of Things (IoT) and Artificial Intelligence (AI) becoming ubiquitous technologies, we now have huge volumes of data being generated. How Does Image Classification Work?

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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). Traditional I2I methods have primarily focused on translating between domains with small gaps, such as photos to paintings or different types of animals.

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Artificial Corner

JANUARY 23, 2025

The 4 courses cover some of the stuff in “ The 4 Stages of Learning Python for AI & ML.” NLP is a branch of artificial intelligence that allows machines to understand human language. 4 Machine Learning & Artificial Intelligence with Tensorflow 2.0

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