NYU Center for Data Science

DECEMBER 3, 2024

The research revealed that regardless of whether a neural network is trained to recognize images from popular computer vision datasets like ImageNet or CIFAR, it develops similar internal patterns for processing visual information. Particularly in being extremely good at exploratory data analysis.”

Neural Network 73

Neural Network Computer Scientist Computer Vision Explainability 73

AWS Machine Learning Blog

DECEMBER 14, 2023

To overcome this business challenge, ICL decided to develop in-house capabilities to use machine learning (ML) for computer vision (CV) to automatically monitor their mining machines. As a traditional mining company, the availability of internal resources with data science, CV, or ML skills was limited.

Computer Vision 107

Computer Vision Convolutional Neural Networks Machine Learning ML 107

IBM Journey to AI blog

FEBRUARY 14, 2024

Companies also take advantage of ML in smartphone cameras to analyze and enhance photos using image classifiers, detect objects (or faces) in the images, and even use artificial neural networks to enhance or expand a photo by predicting what lies beyond its borders. Computer vision guides self-driving cars.

Computer Vision 247

Computer Vision NLP Robotics Automation 247

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. The neural network consists of three types of layers including the hidden layer, the input payer, and the output layer.

Deep Learning 321

Deep Learning Artificial Intelligence Artificial Intelligence AI 321

Pickl AI

JANUARY 26, 2025

Introduction Deep Learning models transform how we approach complex problems, offering powerful tools to analyse and interpret vast amounts of data. These models mimic the human brain’s neural networks, making them highly effective for image recognition, natural language processing, and predictive analytics.

Deep Learning 52

Deep Learning Neural Network Convolutional Neural Networks Natural Language Processing 52

Marktechpost

JANUARY 30, 2025

The consistent theme in these use cases is an AI-driven entity that moves beyond passive data analysis to dynamically and continuously sense, think, and act. Yet, before a system can take meaningful action, it must capture and interpret the data from which it forms its understanding.

Robotics 116

Robotics Convolutional Neural Networks Large Language Models AI 116

Mlearning.ai

FEBRUARY 29, 2024

Computer Vision Libraries Python libraries to work with Images and Videos Python has made accessing programming a little easier, and with the addition of libraries, we are also able to work with Computer Vision tasks and deployment. Let’s go through the general libraries used for computer vision.

Computer Vision 52

Computer Vision Python Neural Network Machine Learning 52

Marktechpost

JANUARY 12, 2024

Integrating two-dimensional (2D) and three-dimensional (3D) data is a significant challenge. Models tailored for 2D images, such as those based on convolutional neural networks, need to be revised for interpreting complex 3D environments. Check out the Paper and Project.

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Convolutional Neural Networks Computer Vision AI Modeling Neural Network 128

Viso.ai

OCTOBER 10, 2024

Moreover, engineers analyze satellite imagery using computer vision models for tasks such as object detection and classification. About us : We empower teams to rapidly build, deploy, and scale computer vision applications with Viso Suite , our comprehensive platform. Caron et al.,

Computer Vision 52

Computer Vision Convolutional Neural Networks Neural Network Deep Learning 52

Marktechpost

JULY 18, 2024

These methods work well for many conventional applications but struggle with non-Euclidean data, which is common in fields such as neuroscience, physics, and advanced computer vision. Geometry, particularly Riemannian geometry, is used to analyze data lying on curved manifolds.

Machine Learning 135

Machine Learning Computer Vision Neural Network Deep Learning 135

Viso.ai

DECEMBER 19, 2023

This article covers everything you need to know about image classification – the computer vision task of identifying what an image represents. Today, the use of convolutional neural networks (CNN) is the state-of-the-art method for image classification. provides the end-to-end Computer Vision Platform Viso Suite.

Convolutional Neural Networks 98

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 98

Marktechpost

OCTOBER 23, 2024

From the statistical foundations of machine learning to the complex algorithms powering neural networks, mathematics plays a pivotal role in shaping the capabilities and limitations of AI. Derivatives are key to optimizing functions like the loss function in neural networks by measuring rates of change.

Neural Network 116

Neural Network Algorithm Robotics Machine Learning 116

Viso.ai

JANUARY 2, 2024

In the following, we will explore Convolutional Neural Networks (CNNs), a key element in computer vision and image processing. Whether you’re a beginner or an experienced practitioner, this guide will provide insights into the mechanics of artificial neural networks and their applications.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Data Scarcity 52

Viso.ai

OCTOBER 10, 2024

Pattern Recognition in Data Analysis What is Pattern Recognition? provides Viso Suite , the world’s only end-to-end Computer Vision Platform. The solution enables teams worldwide to develop and deliver custom real-world computer vision applications. How does Pattern Recognition Work? What Is a Pattern?

Neural Network 98

Neural Network Computer Vision Deep Learning Machine Learning 98

Viso.ai

DECEMBER 6, 2024

Computer vision is a key component of self-driving cars. To obtain this data, a vehicle makes use of cameras and sensors. In this article, we’ll elaborate on how computer vision enhances these cars. To accomplish this, they require two key components: machine learning and computer vision.

Computer Vision 52

Computer Vision Convolutional Neural Networks Neural Network Deep Learning 52

PyImageSearch

FEBRUARY 6, 2023

Table of Contents Training a Custom Image Classification Network for OAK-D Configuring Your Development Environment Having Problems Configuring Your Development Environment? If you are a regular PyImageSearch reader and have even basic knowledge of Deep Learning in Computer Vision, then this tutorial should be easy to understand.

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Auto-classification Computer Vision Neural Network Deep Learning 134

Viso.ai

MARCH 26, 2024

Arguably, one of the most pivotal breakthroughs is the application of Convolutional Neural Networks (CNNs) to financial processes. This drastically enhanced the capabilities of computer vision systems to recognize patterns far beyond the capability of humans. 2: Automated Document Analysis and Processing No.3:

Computer Vision 52

Computer Vision Neural Network Machine Learning Convolutional Neural Networks 52

Marktechpost

MARCH 11, 2024

Recent studies have highlighted the efficacy of Selective State Space Layers, also known as Mamba models, across various domains, such as language and image processing, medical imaging, and data analysis.

Machine Learning 135

Machine Learning Explainability Neural Network Computer Vision 135

Marktechpost

NOVEMBER 10, 2023

In image recognition, researchers and developers constantly seek innovative approaches to enhance the accuracy and efficiency of computer vision systems. However, recent advancements have paved the way for exploring alternative architectures, prompting the integration of Transformer-based models into visual data analysis.

Convolutional Neural Networks 109

Convolutional Neural Networks Computer Vision Natural Language Processing Neural Network 109

Artificial Corner

JANUARY 23, 2025

2 Python for Data Analysis Course This one is more like a playlist than a course; however, you will find more useful lectures in this playlist than in some paid courses. The first 8 videos in the playlist make a 10-hour data analysis course. 4 Machine Learning & Artificial Intelligence with Tensorflow 2.0

Data Science 95

Data Science Python Convolutional Neural Networks Natural Language Processing 95

Viso.ai

DECEMBER 1, 2023

Value of AI models for businesses The most popular AI models AI models in computer vision applications – Viso Suite About us: We provide the platform Viso Suite to collect data and train, deploy, and scale AI models on powerful infrastructure. In computer vision, this process is called image annotation.

AI Modeling 98

AI Modeling Neural Network Deep Learning Computer Vision 98

Viso.ai

JANUARY 29, 2024

Computеr Vision offers promising capabilities in this direction by еnabling visual pattеrn recognition, behavioral analysis, biomеtrics, еtc. This article еxplorеs how Computer Vision techniques can еnhancе the accuracy and efficiency of fraud dеtеction systems.

Computer Vision 52

Computer Vision Algorithm Machine Learning Deep Learning 52

Towards AI

DECEMBER 16, 2024

From breakthroughs in large language models to revolutionary approaches in computer vision and AI safety, the research community has outdone itself. Vision Mamba Summary: Vision Mamba introduces the application of state-space models (SSMs) to computer vision tasks. And lets be real what a year it has been!

AI Research 111

AI Research AI Researcher Computer Vision Neural Network 111

PyImageSearch

MAY 8, 2023

Suppose Marvel hires you as a data scientist. After some data analysis, you conclude that there is a direct correlation between comic book sales and Disney+ subscriptions. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? That’s not the case.

Machine Learning 107

Machine Learning Computer Vision Deep Learning Neural Network 107

Towards AI

DECEMBER 16, 2024

From breakthroughs in large language models to revolutionary approaches in computer vision and AI safety, the research community has outdone itself. Vision Mamba Summary: Vision Mamba introduces the application of state-space models (SSMs) to computer vision tasks. And lets be real what a year it has been!

AI Research 98

AI Research AI Researcher Computer Vision Neural Network 98

Towards AI

DECEMBER 16, 2024

From breakthroughs in large language models to revolutionary approaches in computer vision and AI safety, the research community has outdone itself. Vision Mamba Summary: Vision Mamba introduces the application of state-space models (SSMs) to computer vision tasks. And lets be real what a year it has been!

AI Research 98

AI Research AI Researcher Computer Vision Neural Network 98

Towards AI

DECEMBER 16, 2024

From breakthroughs in large language models to revolutionary approaches in computer vision and AI safety, the research community has outdone itself. Vision Mamba Summary: Vision Mamba introduces the application of state-space models (SSMs) to computer vision tasks. And lets be real what a year it has been!

AI Research 97

AI Research AI Researcher Computer Vision Neural Network 97

Towards AI

JUNE 27, 2023

Offering features like TensorBoard for data visualization and TensorFlow Extended (TFX) for implementing production-ready ML pipelines, TensorFlow stands out as a comprehensive solution for both beginners and seasoned professionals in the realm of machine learning.

Machine Learning 98

Machine Learning ML Neural Network Natural Language Processing 98

IBM Journey to AI blog

JULY 6, 2023

Machine learning can then “learn” from the data to create insights that improve performance or inform predictions. Just as humans can learn through experience rather than merely following instructions, machines can learn by applying tools to data analysis.

Data Science 175

Data Science Machine Learning Big Data Data Mining 175

Viso.ai

OCTOBER 7, 2024

This is where computer vision technology can help identify waste, separate it, and ensure its proper disposal. In this article, we will propose computer vision as an effective tool for waste management. For truly solving real-world scenarios, organizations require more than just a computer vision tool or algorithm.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Robotics 52

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. Viso Suite enables organizations to solve the challenges of scaling computer vision.

Computer Vision 97

Computer Vision Machine Learning Natural Language Processing Deep Learning 97

Chatbots Life

APRIL 16, 2024

Variational Autoencoders (VAEs) : VAEs are neural networks that learn the underlying distribution of the input data and generate new data points. They map input data to a latent space, which is used to reconstruct the input or generate new data points. What are some popular discriminative models?

Neural Network 59

Neural Network Convolutional Neural Networks Natural Language Processing Machine Learning 59

PyImageSearch

JANUARY 23, 2023

Applying XGBoost to Our Dataset Next, we will do some exploratory data analysis and prepare the data for feeding the model. unique() # check the label distribution lblDist = sns.countplot(x='quality', data=wineDf) On Lines 33 and 34 , we read the csv file and then display the unique labels we are dealing with.

Computer Vision 92

Computer Vision Deep Learning Neural Network Algorithm 92

Marktechpost

JULY 5, 2024

These courses cover foundational topics such as machine learning algorithms, deep learning architectures, natural language processing (NLP), computer vision, reinforcement learning, and AI ethics. It includes real-world projects like building neural networks and image classifiers, culminating in a completion certificate.

Data Science 62

Data Science Machine Learning Data Analysis Software Engineer 62

Viso.ai

OCTOBER 17, 2024

John Hopfield is a physicist with contributions to machine learning and AI, Geoffrey Hinton, often considered the godfather of AI, is the computer scientist whom we can thank for the current advancements in AI. Both John Hopfield and Geoffrey Hinton conducted foundational research on artificial neural networks (ANNs).

Neural Network 52

Neural Network Deep Learning Machine Learning Computer Vision 52

Pickl AI

AUGUST 3, 2023

At the core of Deep Learning is the artificial neural network (ANN), which is inspired by the structure and function of the human brain. Neural networks consist of interconnected nodes (neurons) organized into layers: an input layer, one or more hidden layers, and an output layer.

Deep Learning 52

Deep Learning Machine Learning Algorithm Neural Network 52

Mlearning.ai

JULY 17, 2023

Here we will delve into ten advanced ML techniques that every data scientist should know. These techniques have proven to be powerful in various domains, from natural language processing to computer vision and beyond. They consist of two neural networks, a generator and a discriminator, engaged in a competitive game.

Data Scientist 52

Data Scientist ML Neural Network Natural Language Processing 52