Marktechpost

JUNE 9, 2024

Deep learning methods excel in detecting cardiovascular diseases from ECGs, matching or surpassing the diagnostic performance of healthcare professionals. Researchers at the Institute of Biomedical Engineering, TU Dresden, developed a deep learning architecture, xECGArch, for interpretable ECG analysis.

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Pickl AI

JANUARY 29, 2025

Summary: This article presents 10 engaging Deep Learning projects for beginners, covering areas like image classification, emotion recognition, and audio processing. Each project is designed to provide practical experience and enhance understanding of key concepts in Deep Learning. What is Deep Learning?

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AI Weekly

NOVEMBER 23, 2023

forbes.com Applied use cases From Data To Diagnosis: A Deep Learning Approach To Glaucoma Detection When the algorithm is implemented in clinical practice, clinicians collect data such as optic disc photographs, visual fields, and intraocular pressure readings from patients and preprocess the data before applying the algorithm to diagnose glaucoma.

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Unite.AI

DECEMBER 26, 2024

Fortunately, Artificial Intelligence can help meet this challenge. These deep learning algorithms get data from the gyroscope and accelerometer inside a wearable device ideally worn around the neck or at the hip to monitor speed and angular changes across three dimensions.

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Unite.AI

JULY 21, 2023

In the current Artificial Intelligence and Machine Learning industry, “ Image Recognition ”, and “ Computer Vision ” are two of the hottest trends. Image Recognition is a branch in modern artificial intelligence that allows computers to identify or recognize patterns or objects in digital images.

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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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Marktechpost

AUGUST 5, 2024

Advances in deep learning have improved the accuracy and efficiency of medical image segmentation, making it an indispensable tool in clinical practice. Deep learning models have replaced traditional thresholding, clustering, and active contour models. Dice Score and 27.10

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Marktechpost

SEPTEMBER 10, 2023

Researchers think that high-speed testing using Deep Learning models can help us understand these effects better and speed up catalyst development. The way a catalyst’s surface is shaped matters for certain chemical reactions due to various properties of the catalyst, which we study in Surface Chemistry.

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Analytics Vidhya

FEBRUARY 16, 2022

Since 2012 after convolutional neural networks(CNN) were introduced, we moved away from handcrafted features to an end-to-end approach using deep neural networks. The post Classification without Training Data: Zero-shot Learning Approach appeared first on Analytics Vidhya.

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Analytics Vidhya

AUGUST 7, 2023

Introduction Deep Convolutional Generative Adversarial Networks (DCGANs) have revolutionized the field of image generation by combining the power of Generative Adversarial Networks (GANs) and convolutional neural networks (CNNs).

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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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Unite.AI

JULY 23, 2024

However, recent advancements in artificial intelligence (AI) and neuroscience bring this fantasy closer to reality. These patterns are then decoded using deep neural networks to reconstruct the perceived images. At its core, DeWave utilizes deep learning models trained on extensive datasets of brain activity.

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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. These include object identification, object recognition, image segmentation, and edge detection.

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AI Weekly

DECEMBER 7, 2023

Powered by superai.com In the News Google says new AI model Gemini outperforms ChatGPT in most tests Google has unveiled a new artificial intelligence model that it claims outperforms ChatGPT in most tests and displays “advanced reasoning” across multiple formats, including an ability to view and mark a student’s physics homework.

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Marktechpost

JULY 15, 2024

Robustness is crucial for deploying deep learning models in real-world applications. Recent advancements in large kernel convolutions have revived interest in CNNs, showing they can match or exceed ViT performance. If you like our work, you will love our newsletter.

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AI Weekly

AUGUST 17, 2023

Learn how to protect your bottom line. Can’t Build a High-Rise, but It Can Speed Up the Job Meant as a sly swipe at the inflated hype around artificial intelligence, a billboard at a construction site in Antwerp, Belgium, in June read “Hey ChatGPT, finish this building.” Get your FREE REPORT.] pitneybowes.com In The News A.I.

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Marktechpost

APRIL 12, 2024

Deep learning architectures have revolutionized the field of artificial intelligence, offering innovative solutions for complex problems across various domains, including computer vision, natural language processing, speech recognition, and generative models.

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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. The event is co-located with Digital Transformation Week.

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Marktechpost

MARCH 10, 2025

This principle applies across various model classes, showing that deep learning isn’t fundamentally different from other approaches. However, deep learning remains distinctive in specific aspects. Another definition for benign overfitting is described as “one of the key mysteries uncovered by deep learning.”

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Flipboard

NOVEMBER 5, 2024

It aimed to analyze the value of deep learning algorithm combined with magnetic resonance imaging (MRI) in the risk diagnosis and prognosis of endometrial cancer (EC).

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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. voxeurop.eu

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AI Weekly

JUNE 29, 2023

In The News ChatGPT developer OpenAI to locate first non-US office in London OpenAI, the developer of ChatGPT, has chosen London as the location for its first international office in a boost to the UK’s attempts to stay competitive in the artificial intelligence race. [Try Pluto for free today] pluto.fi

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Marktechpost

JANUARY 11, 2024

Understanding how convolutional neural networks (CNNs) operate is essential in deep learning. However, implementing these networks, especially convolutions and gradient calculations, can be challenging.

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AI Weekly

JULY 27, 2023

techcrunch.com The Essential Artificial Intelligence Glossary for Marketers (90+ Terms) BERT - Bidirectional Encoder Representations from Transformers (BERT) is Google’s deep learning model designed explicitly for natural language processing tasks like answering questions, analyzing sentiment, and translation.

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NYU Center for Data Science

SEPTEMBER 25, 2024

Artificial intelligence has revolutionized industries from healthcare to finance. CDS announced a new course in the center’s newly launched Lifelong Learning Program. Foundations of Deep Learning” offers CDS alumni the chance to dive into the latest advancements in AI and machine learning.

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Marktechpost

JANUARY 13, 2024

1/n) pic.twitter.com/LSXmEQiD2K — Zhuang Liu (@liuzhuang1234) January 8, 2024 The post How to Choose the Right Vision Model for Your Specific Needs: Beyond ImageNet Accuracy – A Comparative Analysis of Convolutional Neural Networks and Vision Transformer Architectures appeared first on MarkTechPost.

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Marktechpost

MAY 7, 2024

Current computerized systems employ machine learning techniques, from shallow learning that relies on hand-crafted features to more advanced deep learning models that extract features directly from raw EEG data. These technologies aim to mimic the precision of human analysts while surpassing their speed and endurance.

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Marktechpost

APRIL 24, 2024

While traditional PAM analysis is time-consuming, recent advancements in deep learning technology offer promising solutions for automating bird species identification from audio recordings. Preliminary research in interpretable deep learning for audio includes deep prototype learning, initially proposed for image classification.

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Unite.AI

OCTOBER 17, 2024

Healthcare in the United States is in the early stages of a significant potential disruption due to the use of Machine Learning and Artificial Intelligence. Some of the earliest and most extensive work has occurred in the use of deep learning and computer vision models. Several types of networks exist.

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Pickl AI

SEPTEMBER 5, 2024

Summary: Convolutional Neural Networks (CNNs) are essential deep learning algorithms for analysing visual data. They automatically extract and learn features, making them ideal for tasks like image classification and object detection. What are Convolutional Neural Networks?

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Marktechpost

DECEMBER 29, 2023

Consequently, the researchers of Plant Phenomics have introduced BarbNet, a deep-learning model designed specifically for the automated detection and phenotyping of barbs in microscopic images of awns. Despite their importance is evident, analyzing these small structures has been challenging due to the lack of automated tools.

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Marktechpost

JANUARY 15, 2025

This gap has led to the evolution of deep learning models, designed to learn directly from raw data. What is Deep Learning? Deep learning, a subset of machine learning, is inspired by the structure and functioning of the human brain. High Accuracy: Delivers superior performance in many tasks.

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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 research details creating a deep learning-based system for automated AMD detection and staging using retinal OCT scans. in a real-world test set.

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Marktechpost

JANUARY 14, 2024

There has been a meteoric rise in the use of deep learning in image processing in the past several years. The robust feature learning and mapping capabilities of deep learning-based approaches enable them to acquire intricate blur removal patterns from large datasets.

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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. Is Deep Learning just another name for AI?

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Unite.AI

NOVEMBER 6, 2023

Neural Network: Moving from Machine Learning to Deep Learning & Beyond Neural network (NN) models are far more complicated than traditional Machine Learning models. Advances in neural network techniques have formed the basis for transitioning from machine learning to deep learning.

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Marktechpost

MARCH 16, 2025

Despite advancements in deep learning , many existing stereo-matching models require domain-specific fine-tuning to achieve high accuracy. These methods utilize 3D convolutional neural networks (CNNs) for cost filtering but struggle with generalization beyond their training data.

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