Unite.AI

MARCH 2, 2025

For years, deep learning has relied on traditional dense layers, where every neuron in one layer is connected to every neuron in the next. This structure enables AI models to learn complex patterns, but it comes at a steep cost. Another problem with dense layers is that they struggle with knowledge updates.

Deep Learning 159

Deep Learning Neural Network Automation AI 159

PyImageSearch

DECEMBER 9, 2024

Citation Information 3D Gaussian Splatting vs NeRF: The End Game of 3D Reconstruction? In this tutorial, you will learn about 3D Gaussian Splatting. With that, the resulting 3D models often lack detailed textures, colors, and other essential information. Join me in computer vision mastery. Thats not the case.

Computer Vision 105

Computer Vision Deep Learning Explainability Algorithm 105

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

Flipboard

FEBRUARY 10, 2025

Multimodal Capabilities in Detail Configuring Your Development Environment Project Structure Implementing the Multimodal Chatbot Setting Up the Utilities (utils.py) Designing the Chatbot Logic (chatbot.py) Building the Interface (app.py) Summary Citation Information Building a Multimodal Gradio Chatbot with Llama 3.2 Introducing Llama 3.2

Chatbots 149

Chatbots Computer Vision Deep Learning Large Language Models 149

Pickl AI

JANUARY 26, 2025

Summary: Deep Learning models revolutionise data processing, solving complex image recognition, NLP, and analytics tasks. Introduction Deep Learning models transform how we approach complex problems, offering powerful tools to analyse and interpret vast amounts of data. With a projected market growth from USD 6.4

Deep Learning 52

Deep Learning Neural Network Convolutional Neural Networks Natural Language Processing 52

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?

Neural Network 178

Neural Network Deep Learning Machine Learning Artificial Intelligence 178

PyImageSearch

JANUARY 13, 2025

To learn how to master YOLO11 and harness its capabilities for various computer vision tasks , just keep reading. With improvements in its design and training techniques, YOLO11 can handle a variety of computer vision tasks, making it a flexible and powerful tool for developers and researchers alike.

Computer Vision 101

Computer Vision Python Deep Learning Neural Network 101

PyImageSearch

DECEMBER 16, 2024

For more information, head over to Fine Tune PaliGemma with QLoRA for Visual Question Answering. The debug=True option enables debugging information, which can be helpful for troubleshooting. Document Understanding involves analyzing images that contain both visual elements and textual information. We begin by using cv2.VideoCapture(video_path)

Computer Vision 100

Computer Vision Deep Learning Artificial Intelligence Artificial Intelligence 100

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.

Deep Learning 120

Deep Learning Natural Language Processing Computer Vision AI Researcher 120

Viso.ai

DECEMBER 1, 2024

This article covers an extensive list of novel, valuable computer vision applications across all industries. Find the best computer vision projects, computer vision ideas, and high-value use cases in the market right now. provides Viso Suite , the world’s only end-to-end Computer Vision Platform.

Computer Vision 98

Computer Vision Convolutional Neural Networks Deep Learning Neural Network 98

Analytics Vidhya

AUGUST 26, 2021

This article was published as a part of the Data Science Blogathon “You can have data without information but you cannot have information without data” – Daniel Keys Moran Introduction If you are here then you might be already interested in Machine Learning or Deep Learning so I need not explain what it is?

Deep Learning 318

Deep Learning Machine Learning Data Science Explainability 318

PyImageSearch

DECEMBER 23, 2024

These word vectors are trained from Twitter data making them semantically rich in information. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? Join me in computer vision mastery. Citation Information Mangla, P. Thakur, eds.,

Computer Vision 107

Computer Vision Algorithm Deep Learning Metadata 107

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.

Deep Learning 122

Deep Learning Neural Network Data Scarcity Natural Language Processing 122

Unite.AI

DECEMBER 26, 2024

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.

Convolutional Neural Networks 147

Convolutional Neural Networks Algorithm Neural Network Computer Vision 147

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. This improvement has led to a significant advancement in medical diagnosis.

Natural Language Processing 246

Natural Language Processing Computer Vision Deep Learning Artificial Intelligence 246

Unite.AI

JANUARY 18, 2024

LVMs are a new category of AI models specifically designed for analyzing and interpreting visual information, such as images and videos, on a large scale, with impressive accuracy. Moreover, LVMs enable insightful analytics by extracting and synthesizing information from diverse visual data sources, including images, videos, and text.

Computer Vision 264

Computer Vision OpenAI Deep Learning Artificial Intelligence 264

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? It needs a lot of labeled data that takes more time and effort if not available publicly.It

Deep Learning 122

Deep Learning Natural Language Processing Computer Vision NLP 122

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 123

Deep Learning Machine Learning Python Computer Vision 123

Viso.ai

DECEMBER 20, 2023

The computer vision annotation tool CVAT provides a powerful solution for image annotation in computer vision. Computational vision is the research field that uses machines to collect and analyze images and videos to extract information from processed visual data. Get a demo or the whitepaper.

Computer Vision 98

Computer Vision Deep Learning Neural Network Machine Learning 98

Flipboard

MARCH 24, 2025

In the context of OpenAI CLIP, embeddings are vectors that encode semantic information about images and text in a shared representation space. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? Join me in computer vision mastery.

OpenAI 102

OpenAI Computer Vision Deep Learning Python 102

Marktechpost

JANUARY 24, 2024

Artificial Intelligence has witnessed a revolution, largely due to advancements in deep learning. This shift is driven by neural networks that learn through self-supervision, bolstered by specialized hardware. Before the advent of deep learning, data representation often involved manually curated feature vectors.

Neural Network 135

Neural Network Deep Learning Computer Vision Big Data 135

Marktechpost

JANUARY 3, 2024

Addressing these challenges, a UK-based research team introduced a hybrid method, merging deep learning and traditional computer vision techniques to enhance tracking accuracy for fish in complex experiments. The deep learning part involves the use of object detection and tracking.

Deep Learning 120

Deep Learning Computer Vision Automation AI Researcher 120

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

Towards AI

SEPTEMBER 10, 2023

What I’ve learned from the most popular DL course Photo by Sincerely Media on Unsplash I’ve recently finished the Practical Deep Learning Course from Fast.AI. So you definitely can trust his expertise in Machine Learning and Deep Learning. Luckily, there’s a handy tool to pick up Deep Learning Architecture.

Deep Learning 124

Deep Learning Neural Network ML Computer Vision 124

PyImageSearch

FEBRUARY 17, 2025

Figures present another challenge captions might be separated from their images, and important visual information gets lost in translation. Traditional systems frequently misinterpret these elements, turning a simple equation into gibberish or losing critical technical information. Interpret visual scenes to answer questions.

Computer Vision 84

Computer Vision Deep Learning Data Ingestion AI 84

AssemblyAI

MARCH 21, 2023

Traditional AI methods have been designed to extract information from objects encoded by somewhat “rigid” structures. The goal was to use AI models to predict the antibiotic activity of molecules by learning their graph representations, this way capturing their potential antibiotic activity.

Neural Network 317

Neural Network Deep Learning AI Natural Language Processing 317

Analytics Vidhya

FEBRUARY 16, 2022

Introduction Computer vision is a field of A.I. that deals with deriving meaningful information from images. 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. These are easy to develop […].

Convolutional Neural Networks 271

Convolutional Neural Networks Neural Network Computer Vision Data Science 271

The MLOps Blog

NOVEMBER 14, 2023

Deep learning models are typically highly complex. While many traditional machine learning models make do with just a couple of hundreds of parameters, deep learning models have millions or billions of parameters. The reasons for this range from wrongly connected model components to misconfigured optimizers.

Deep Learning 111

Deep Learning Neural Network Convolutional Neural Networks Data Scientist 111

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

Neural Network 262

Neural Network Convolutional Neural Networks Robotics Deep Learning 262

Viso.ai

DECEMBER 18, 2023

As an Edge AI implementation, TensorFlow Lite greatly reduces the barriers to introducing large-scale computer vision with on-device machine learning, making it possible to run machine learning everywhere. About us: At viso.ai, we power the most comprehensive computer vision platform Viso Suite.

Computer Vision 98

Computer Vision Machine Learning Deep Learning Neural Network 98

Marktechpost

JULY 13, 2024

A fundamental topic in computer vision for nearly half a century, stereo matching involves calculating dense disparity maps from two corrected pictures. According to their cost-volume computation and optimization methodologies, existing surveys categorize end-to-end architectures into 2D and 3D classes. Check out the Paper.

Deep Learning 108

Deep Learning Computer Vision Categorization Robotics 108

Marktechpost

JANUARY 14, 2024

Computer vision tasks like autonomous driving, object segmentation, and scene analysis can negatively impact this effect, which blurs or stretches the image’s object contours, diminishing their clarity and detail. There has been a meteoric rise in the use of deep learning in image processing in the past several years.

Deep Learning 113

Deep Learning Convolutional Neural Networks Neural Network Computer Vision 113

Unite.AI

SEPTEMBER 18, 2023

To prevent these scenarios, protection of data, user assets, and identity information has been a major focus of the blockchain security research community, as to ensure the development of the blockchain technology, it is essential to maintain its security.

Deep Learning 321

Deep Learning Artificial Intelligence Artificial Intelligence AI 321

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

Computer Vision 98

Computer Vision Machine Learning Neural Network Algorithm 98

Unite.AI

APRIL 6, 2025

Unlike conventional voice recognition systems, FreshAI employs deep learning models trained on thousands of real-world customer interactions. There is even the potential for computer vision AI to help manage drive-thru traffic by tracking cars in real-time, reducing wait times, and keeping things running smoothly.

Automation 157

Automation AI AI Neural Network 157

PyImageSearch

MARCH 31, 2025

Course information: 86+ total classes 115+ hours hours of on-demand code walkthrough videos Last updated: March 2025 4.84 (128 Ratings) 16,000+ Students Enrolled I strongly believe that if you had the right teacher you could master computer vision and deep learning. Join me in computer vision mastery.

Computer Vision 74

Computer Vision Deep Learning Algorithm Data Science 74

Viso.ai

DECEMBER 3, 2023

Pose estimation is a fundamental task in computer vision and artificial intelligence (AI) that involves detecting and tracking the position and orientation of human body parts in images or videos. provides the leading end-to-end Computer Vision Platform Viso Suite. Get a demo for your organization.

Deep Learning 98

Deep Learning Computer Vision Neural Network Robotics 98