Analytics Vidhya

MARCH 15, 2023

Introduction DocVQA (Document Visual Question Answering) is a research field in computer vision and natural language processing that focuses on developing algorithms to answer questions related to the content of a document, like a scanned document or an image of a text document.

Natural Language Processing 329

Natural Language Processing Computer Vision Algorithm Deep Learning 329

Marktechpost

MAY 20, 2024

Deep learning is a subset of machine learning that involves training neural networks with multiple layers to recognize patterns and make data-based decisions. This article lists the top courses in deep learning that provide comprehensive knowledge and practical skills necessary to excel in this transformative field.

Deep Learning 129

Deep Learning Neural Network Computer Vision Natural Language Processing 129

Aiiot Talk

MAY 6, 2023

AI comprises numerous technologies like deep learning, machine learning, natural language processing, and computer vision. With the help of these technologies, AI is now capable of learning, reasoning, and processing complex data.

Natural Language Processing 246

Natural Language Processing Computer Vision Deep Learning Artificial Intelligence 246

PyImageSearch

JANUARY 30, 2023

This last blog of the series will cover the benefits, applications, challenges, and tradeoffs of using deep learning in the education sector. To learn about Computer Vision and Deep Learning for Education, just keep reading. Task Automation AI software can easily handle repetitive, manual tasks (e.g.,

Computer Vision 92

Computer Vision Deep Learning Neural Network Artificial Intelligence 92

IBM Journey to AI blog

JULY 6, 2023

While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other?

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Neural Network Deep Learning Machine Learning Artificial Intelligence 178

Marktechpost

AUGUST 3, 2024

Multi-layer perceptrons (MLPs) have become essential components in modern deep learning models, offering versatility in approximating nonlinear functions across various tasks. The difficulty in understanding learned representations limits their transparency, while expanding the network scale often proves complex.

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Computer Vision Machine Learning NLP Neural Network 124

Marktechpost

MARCH 30, 2024

In 2024, the landscape of Python libraries for machine learning and deep learning continues to evolve, integrating more advanced features and offering more efficient and easier ways to build, train, and deploy models. PyTorch PyTorch is a widely used open-source machine learning library based on the Torch library.

Deep Learning 124

Deep Learning Machine Learning Python Computer Vision 124

Towards AI

NOVEMBER 19, 2023

This technique is more useful in the field of computer vision and natural language processing (NLP) because of large data that has semantic information. What is the issue of training deep learning models from scratch? takes… Read the full blog for free on Medium.

Deep Learning 122

Deep Learning Natural Language Processing Computer Vision NLP 122

Marktechpost

MAY 8, 2024

Over the past decade, advancements in deep learning and artificial intelligence have driven significant strides in self-driving vehicle technology. These technologies have revolutionized computer vision, robotics, and natural language processing and played a pivotal role in the autonomous driving revolution.

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Deep Learning Neural Network Data Scarcity Natural Language Processing 124

Marktechpost

MAY 28, 2024

Recent advancements in deep learning offer a transformative approach by enabling end-to-end learning models that can directly process raw biomedical data. Despite the promise of deep learning in healthcare, its adoption has been limited due to several challenges.

Deep Learning 117

Deep Learning Auto-classification Computer Vision Data Mining 117

Marktechpost

MAY 14, 2024

Deep learning is crucial in today’s age as it powers advancements in artificial intelligence, enabling applications like image and speech recognition, language translation, and autonomous vehicles. Additionally, it offers insights into the diverse range of deep learning techniques applied across various industrial sectors.

Neural Network 111

Neural Network Deep Learning Computer Vision Python 111

AssemblyAI

MARCH 21, 2023

Introduction Graph data is everywhere in the world: any system consisting of entities and relationships between them can be represented as a graph. PinSage is able to predict in novel ways which visual concepts that users have found interesting can map to new things they might appeal to them.

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Neural Network Deep Learning AI AI 317

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.

Deep Learning 137

Deep Learning Convolutional Neural Networks Neural Network Natural Language Processing 137

AI News

JULY 28, 2023

Technical leads/managers in computer vision, data science, deep learning & AI, ML engineering, MLOps, and natural language processing are earning annual base salaries ranging from £44,000 to £120,000, depending on experience and location.

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ML ML Engineer Data Science Big Data 245

Marktechpost

SEPTEMBER 21, 2024

Artificial intelligence (AI) research has increasingly focused on enhancing the efficiency & scalability of deep learning models. These models have revolutionized natural language processing, computer vision, and data analytics but have significant computational challenges.

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Deep Learning Natural Language Processing Computer Vision AI Research 122

Marktechpost

OCTOBER 18, 2023

The idea of compilation is a potentially effective remedy that can balance the needs for computing efficiency and model size. In recent research, a team of researchers has introduced a deep learning compiler specifically made for neural network training.

Deep Learning 124

Deep Learning Neural Network Natural Language Processing Computer Vision 124

Marktechpost

JUNE 3, 2024

Its AI courses offer hands-on training for real-world applications, enabling learners to effectively use Intel’s portfolio in deep learning, computer vision, and more. It covers AI fundamentals, including supervised learning and deep learning basics, without complex math.

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Convolutional Neural Networks Neural Network Deep Learning Computer Vision 124

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.

Machine Learning 204

Machine Learning Neural Network Deep Learning Convolutional Neural Networks 204

Viso.ai

DECEMBER 20, 2023

In the field of computer vision, supervised learning and unsupervised learning are two of the most important concepts. In this guide, we will explore the differences and when to use supervised or unsupervised learning for computer vision tasks. What is supervised learning? About us: Viso.ai

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Computer Vision Neural Network Machine Learning Algorithm 98

IBM Journey to AI blog

OCTOBER 12, 2023

Unlike basic machine learning models, deep learning models allow AI applications to learn how to perform new tasks that need human intelligence, engage in new behaviors and make decisions without human intervention. This allows intelligent machines to identify and classify objects within images and video footage.

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Artificial Intelligence Artificial Intelligence Emotion AI Computer Vision 209

Marktechpost

JULY 12, 2023

Advances in Deep Learning Methodologies are greatly impacting the Artificial Intelligence community. Deep Learning techniques are being widely used in almost every industry, be it healthcare, social media, engineering, finance, or education.

Deep Learning 98

Deep Learning Python Large Language Models Artificial Intelligence 98

Unite.AI

NOVEMBER 5, 2024

The need for specialized AI accelerators has increased as AI applications like machine learning, deep learning , and neural networks evolve. NVIDIA has been the dominant player in this domain for years, with its powerful Graphics Processing Units (GPUs) becoming the standard for AI computing worldwide.

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Deep Learning AI AI Neural Network 189

AI Weekly

APRIL 11, 2024

No legacy process is safe. And this is particularly true for accounts payable (AP) programs, where AI, coupled with advancements in deep learning, computer vision and natural language processing (NLP), is helping drive increased efficiency, accuracy and cost savings for businesses.

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Robotics Artificial Intelligence Artificial Intelligence Data Drift 217

Marktechpost

JULY 31, 2024

TensorFlow is a powerful open-source framework for building and deploying machine learning models. Learning TensorFlow enables you to create sophisticated neural networks for tasks like image recognition, natural language processing, and predictive analytics.

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Neural Network Auto-classification Natural Language Processing Deep Learning 110

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 207

AWS Machine Learning Blog

NOVEMBER 29, 2023

In today’s rapidly evolving landscape of artificial intelligence, deep learning models have found themselves at the forefront of innovation, with applications spanning computer vision (CV), natural language processing (NLP), and recommendation systems.

Deep Learning 123

Deep Learning Conversational AI Natural Language Processing BERT 123

IBM Journey to AI blog

DECEMBER 15, 2023

PyTorch is an open-source AI framework offering an intuitive interface that enables easier debugging and a more flexible approach to building deep learning models. It is a popular choice among researchers and developers for rapid software development prototyping and AI and deep learning research.

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AI Tools Deep Learning Computer Vision Python 207

Unite.AI

SEPTEMBER 18, 2023

Artificial Intelligence is a very vast branch in itself with numerous subfields including deep learning, computer vision , natural language processing , and more. Deep learning frameworks can be classified into two categories: Supervised learning, and Unsupervised learning.

Deep Learning 321

Deep Learning Artificial Intelligence Artificial Intelligence AI 321

AI Weekly

JULY 13, 2023

psychologytoday.com Decoding How Spotify Recommends Music to Users Machine learning (ML) and artificial intelligence (AI) have revolutionized the music streaming industry by enhancing the user experience, improving content discovery, and enabling personalized recommendations. [Try Pluto for free today] pluto.fi

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Neural Network Robotics ChatGPT Computer Vision 181

Marktechpost

JULY 12, 2023

These networks may carry out a range of human-like activities, including face recognition, speech recognition, object identification, natural language processing, and content synthesis, which include several layers and a lot of neurons or transformer blocks.

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Neural Network Computer Vision AI Research AI Researcher 98

Towards AI

SEPTEMBER 30, 2024

Presently across many sectors, new advancements in fields such as AI, NLP (natural language processing), robotics, and computer vision are being utilized to boost operational efficiency.

Artificial Intelligence 116

Artificial Intelligence Artificial Intelligence Natural Language Processing Robotics 116

Pickl AI

NOVEMBER 24, 2024

Summary: Autoencoders are powerful neural networks used for deep learning. Their applications include dimensionality reduction, feature learning, noise reduction, and generative modelling. By the end, you’ll understand why autoencoders are essential tools in Deep Learning and how they can be applied across different fields.

Deep Learning 52

Deep Learning Neural Network Natural Language Processing Computer Vision 52

Unite.AI

JULY 11, 2023

Introduction To Image Generation Image Source Course difficulty: Beginner-level Completion time: ~ 1 day (Complete the quiz/lab in your own time) Prerequisites: Knowledge of ML, Deep Learning (DL), Convolutional Neural Nets (CNNs), and Python programming. What will AI enthusiasts learn? What will AI enthusiasts learn?

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Generative AI BERT Natural Language Processing Artificial Intelligence 189

Towards AI

DECEMBER 28, 2023

The advent of more powerful personal computers paved the way for the gradual acceptance of deep learning-based methods. CS6910/CS7015: Deep Learning Mitesh M. These models are trained on massive amounts of text data to learn patterns and relationships in the language.

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Large Language Models Natural Language Processing Prompt Engineer Prompt Engineering 122

Unite.AI

OCTOBER 12, 2023

research scientist with over 16 years of professional experience in the fields of speech/audio processing and machine learning in the context of Automatic Speech Recognition (ASR), with a particular focus and hands-on experience in recent years on deep learning techniques for streaming end-to-end speech recognition.

Machine Learning 278

Machine Learning Deep Learning Conversational AI Data Quality 278

Aiiot Talk

AUGUST 10, 2024

Combining deep learning, natural language processing, surveillance systems and computer vision would enable rapid decision-making. For example, integrating it into an automated bagger would make automatic measurement and capacity analysis faster and more accurate.

Automation 174

Automation Robotics Artificial Intelligence Natural Language Processing 174

IBM Journey to AI blog

FEBRUARY 14, 2024

Voice-based queries use natural language processing (NLP) and sentiment analysis for speech recognition so their conversations can begin immediately. Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed.

Computer Vision 247

Computer Vision Robotics Automation NLP 247