Analytics Vidhya

MAY 25, 2023

These professionals are responsible for the design and development of AI systems, including machine learning algorithms, computer vision, natural language processing, and robotics. Their work has led to breakthroughs in various fields, such […] The post The Ultimate AI Engineer Salary Guide Revealed!

AI Engineer 263

AI Engineer Natural Language Processing Computer Vision Robotics 263

Viso.ai

FEBRUARY 11, 2024

One of the computer vision applications we are most excited about is the field of robotics. By marrying the disciplines of computer vision, natural language processing, mechanics, and physics, we are bound to see a frameshift change in the way we interact with, and are assisted by robot technology.

Computer Vision 52

Computer Vision Robotics Natural Language Processing Data Scarcity 52

Viso.ai

FEBRUARY 11, 2024

One of the computer vision applications we are most excited about is the field of robotics. By marrying the disciplines of computer vision, natural language processing, mechanics, and physics, we are bound to see a frameshift change in the way we interact with, and are assisted by robot technology.

Computer Vision 52

Computer Vision Robotics Natural Language Processing Data Scarcity 52

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. It is essential to update the AI algorithms regularly to maintain accuracy.

Natural Language Processing 246

Natural Language Processing Computer Vision Deep Learning Artificial Intelligence 246

PyImageSearch

JANUARY 30, 2023

To learn about Computer Vision and Deep Learning for Education, just keep reading. Computer Vision and Deep Learning for Education Benefits Smart Content Artificial Intelligence can help teachers and research experts create innovative and personalized content for their students.

Computer Vision 107

Computer Vision Deep Learning Neural Network Artificial Intelligence 107

PyImageSearch

MARCH 30, 2023

If you want a gentle introduction to machine learning for computer vision, you’re in the right spot. Here at PyImageSearch we’ve been helping people just like you master deep learning for computer vision. Also, you might want to check out our computer vision for deep learning program before you go.

Computer Vision 56

Computer Vision Machine Learning Neural Network Convolutional Neural Networks 56

Heartbeat

MARCH 5, 2024

Image by istockphoto Computer vision has become a ground-breaking area in artificial intelligence and machine learning with revolutionary applications. Computer vision has changed how we see and interact with the world, from autonomous vehicles navigating complex metropolitan landscapes to medical imaging identifying diseases.

Computer Vision 52

Computer Vision Deep Learning Convolutional Neural Networks Machine Learning 52

Analytics Vidhya

NOVEMBER 19, 2019

Overview The attention mechanism has changed the way we work with deep learning algorithms Fields like Natural Language Processing (NLP) and even Computer Vision. The post A Comprehensive Guide to Attention Mechanism in Deep Learning for Everyone appeared first on Analytics Vidhya.

Deep Learning 275

Deep Learning Natural Language Processing Computer Vision NLP 275

Marktechpost

JANUARY 14, 2024

Developing large-scale datasets has been critical in computer vision and natural language processing. These datasets, rich in visual and textual information, are fundamental to developing algorithms capable of understanding and interpreting images.

Natural Language Processing 126

Natural Language Processing Computer Vision Machine Learning Automation 126

PyImageSearch

JANUARY 2, 2023

Computer Vision and Deep Learning for Oil and Gas Computer Vision and Deep Learning for Transportation Computer Vision and Deep Learning for Logistics Computer Vision and Deep Learning for Healthcare (this tutorial) Computer Vision and Deep Learning for Education To learn about Computer Vision and Deep Learning for Healthcare, just keep reading.

Computer Vision 52

Computer Vision Deep Learning Neural Network Machine Learning 52

Marktechpost

MAY 14, 2024

It offers easy-to-understand explanations, real-world examples, and practical skills for using deep learning in computer vision, natural language processing, and generative models. The book also covers building and deploying various algorithms like CNNs, transformers, GANs, etc. It covers TensorFlow 2.x

Neural Network 97

Neural Network Deep Learning Computer Vision Python 97

Marktechpost

MARCH 30, 2024

PyTorch boasts a robust ecosystem with tools and libraries for computer vision, natural language processing, and more. It gives access to various classification, regression, and clustering algorithms, including SVM, random forests, gradient boosting, k-means, and DBSCAN.

Deep Learning 123

Deep Learning Machine Learning Python Computer Vision 123

Marktechpost

APRIL 30, 2024

PEFT’s applicability extends beyond Natural Language Processing (NLP) to computer vision (CV), garnering interest in fine-tuning large-parameter vision models like Vision Transformers (ViT) and diffusion models, as well as interdisciplinary vision-language models.

Large Language Models 129

Large Language Models Categorization Natural Language Processing Algorithm 129

Unite.AI

MARCH 27, 2024

Back then, people dreamed of what it could do, but now, with lots of data and powerful computers, AI has become even more advanced. Today, AI benefits from the convergence of advanced algorithms, computational power, and the abundance of data. Along the journey, many important moments have helped shape AI into what it is today.

AI 278

AI AI Natural Language Processing Automation 278

Unite.AI

NOVEMBER 6, 2023

Traditional machine learning is a broad term that covers a wide variety of algorithms primarily driven by statistics. The two main types of traditional ML algorithms are supervised and unsupervised. These algorithms are designed to develop models from structured datasets. Do We Still Need Traditional Machine Learning Algorithms?

Machine Learning 204

Machine Learning Neural Network Deep Learning Convolutional Neural Networks 204

AI Weekly

JULY 13, 2023

dzone.com applied-use-cases | Intelligent Process Automation for Improving CX Intelligent process automation (IPA) blends artificial intelligence, computer vision, cognitive automation, natural language processing and machine learning with robotic process automation to enable advanced decision-making automation.

Neural Network 172

Neural Network Robotics Computer Vision ChatGPT 172

Unite.AI

DECEMBER 20, 2023

In the domain of Artificial Intelligence (AI) , where algorithms and models play a significant role, reproducibility becomes paramount. Algorithmic Complexity Complex AI algorithms often have complex architectures and numerous hyperparameters. Moreover, troubleshooting and debugging are facilitated by reproducibility.

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AI Researcher AI Research Algorithm AI 182

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. Running on neural networks , computer vision enables systems to extract meaningful information from digital images, videos and other visual inputs.

Computer Vision 221

Computer Vision Automation Robotics AI 221

Pickl AI

AUGUST 3, 2023

Introduction to Deep Learning Algorithms: Deep learning algorithms are a subset of machine learning techniques that are designed to automatically learn and represent data in multiple layers of abstraction. This process is known as training, and it relies on large amounts of labeled data. How Deep Learning Algorithms Work?

Deep Learning 52

Deep Learning Machine Learning Algorithm Neural Network 52

Marktechpost

JANUARY 19, 2024

This advancement is crucial in RL, where algorithms learn to make sequential decisions, often in complex and dynamic environments. These aspects are critical in developing algorithms that can adapt and make informed decisions in varied scenarios, such as navigating through a maze or playing strategic games.

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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 Large Language Models Artificial Intelligence Artificial Intelligence 207

Pickl AI

APRIL 19, 2024

Specialise in domains like machine learning or natural language processing to deepen expertise. Neural Networks: Inspired by the human brain’s structure, neural networks are algorithms that allow machines to recognise patterns and make decisions based on input data.

Neural Network 52

Neural Network Natural Language Processing Machine Learning Computer Vision 52

Unite.AI

FEBRUARY 16, 2024

Despite achieving remarkable results in areas like computer vision and natural language processing , current AI systems are constrained by the quality and quantity of training data, predefined algorithms, and specific optimization objectives.

Neural Network 195

Neural Network Algorithm Machine Learning Natural Language Processing 195

Towards AI

DECEMBER 28, 2023

Black box algorithms such as xgboost emerged as the preferred solution for a majority of classification and regression problems. Later, Python gained momentum and surpassed all programming languages, including Java, in popularity around 2018–19. In 2023, we witnessed the substantial transformation of AI, marking it as the ‘year of AI.’

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Large Language Models Natural Language Processing Prompt Engineer Prompt Engineering 109

Marktechpost

FEBRUARY 21, 2024

In the past few years, generalist AI systems have shown remarkable progress in the field of computer vision and natural language processing and are widely used in many real-world settings, such as robotics, video generation, and 3D asset creation.

Robotics 121

Robotics Computer Vision Natural Language Processing Algorithm 121

Unite.AI

SEPTEMBER 15, 2023

Artificial Intelligence and Machine Learning Artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing various domains such as natural language processing , computer vision , speech recognition , recommendation systems, and self-driving cars.

Natural Language Processing 278

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Marktechpost

APRIL 23, 2024

Generative models have emerged as transformative tools across various domains, including computer vision and natural language processing, by learning data distributions and generating samples from them. Latent Diffusion Models (LDMs) stand out for their rapid generation capabilities and reduced computational cost.

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AI Researcher AI Research Natural Language Processing Computer Vision 103

Viso.ai

NOVEMBER 19, 2023

This includes various products related to different aspects of AI, including but not limited to tools and platforms for deep learning, computer vision, natural language processing, machine learning, cloud computing, and edge AI. Software #9: Observe.AI Software #10: TensorFlow Software #11: H2O.ai

Computer Vision 97

Computer Vision Natural Language Processing Machine Learning Deep Learning 97

Marktechpost

MAY 8, 2024

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

Deep Learning 107

Deep Learning Neural Network Data Scarcity Natural Language Processing 107

Chatbots Life

APRIL 16, 2024

Examples of Generative Models Generative models encompass various algorithms that capture patterns in data to generate realistic new examples. This is useful in natural language processing tasks. Training and Inference Process Training discriminative models involve feeding the model-labeled training data.

Neural Network 59

Neural Network Convolutional Neural Networks Natural Language Processing Machine Learning 59

Unite.AI

JULY 31, 2023

Self-supervised learning has already shown its results in Natural Language Processing as it has allowed developers to train large models that can work with an enormous amount of data, and has led to several breakthroughs in fields of natural language inference, machine translation, and question answering.

Computer Vision 246

Computer Vision Metadata Natural Language Processing ML 246

Marktechpost

DECEMBER 23, 2023

DNNs have gained immense prominence in various fields, including computer vision, natural language processing, and pattern recognition, due to their ability to handle large volumes of data and extract high-level features, leading to remarkable advancements in machine learning and AI applications.

Neural Network 125

Neural Network Machine Learning Natural Language Processing Computer Vision 125

IBM Journey to AI blog

DECEMBER 15, 2023

When AI algorithms, pre-trained models, and data sets are available for public use and experimentation, creative AI applications emerge as a community of volunteer enthusiasts builds upon existing work and accelerates the development of practical AI solutions. Morgan and Spotify.

AI Tools 179

AI Tools Deep Learning Computer Vision AI 179

Marktechpost

DECEMBER 13, 2023

Large Language Models (LLMs), due to their strong generalization and reasoning powers, have significantly uplifted the Artificial Intelligence (AI) community. These models have shown to be remarkably capable and have showcased the capabilities of Natural Language Processing (NLP), Natural Language Generation (NLG), Computer Vision, etc.

Large Language Models 129

Large Language Models LLM Natural Language Processing Computer Vision 129

Viso.ai

MARCH 20, 2024

Use Cases for Foundation Models Applications in Pre-trained Language Models like GPT, BERT, Claude, etc. Applications in Computer Vision Models like ResNET, VGG, Image Captioning, etc. Viso Suite is the only end-to-end computer vision platform What are Foundation Models?

AI Developer 52

AI Developer AI Development Computer Vision BERT 52

Heartbeat

MARCH 14, 2024

AI refers to computer systems capable of performing tasks that typically require human intelligence. ML, a subset of AI, focuses on developing algorithms to learn from and make predictions or decisions based on data. When applied in engineering, these technologies can make processes smarter, more efficient, and more reliable.

ML 52

ML Computer Vision Automation AI 52

Marktechpost

DECEMBER 16, 2023

A custom-trained natural language processing (NLP) algorithm, X-Raydar-NLP, labeled the chest X-rays using a taxonomy of 37 findings extracted from the reports. An NLP algorithm, X-Raydar-NLP, was trained on 23,230 manually annotated reports to extract labels.

Neural Network 86

Neural Network Auto-classification NLP Natural Language Processing 86