Unite.AI

JULY 23, 2024

This article explores the potential and challenges of mind-reading AI, highlighting its current capabilities and prospects. Once the brain signals are collected, AI algorithms process the data to identify patterns. These algorithms map the detected patterns to specific thoughts, visual perceptions, or actions.

Convolutional Neural Networks 317

Convolutional Neural Networks Neural Network Artificial Intelligence Artificial Intelligence 317

Unite.AI

JANUARY 19, 2024

Traditionally, models for single-view object reconstruction built on convolutional neural networks have shown remarkable performance in reconstruction tasks. This network performs complex reasoning about the 3D structure in the output space.

Convolutional Neural Networks 130

Convolutional Neural Networks Neural Network Explainability Categorization 130

Heartbeat

MAY 2, 2023

Deep learning is based in algorithms, which are mathematical operations that let computers learn from data and get better over time. In this article, we will examine some different popular deep learning algorithms and how they operate.

Deep Learning 52

Deep Learning Convolutional Neural Networks Algorithm Neural Network 52

Viso.ai

OCTOBER 9, 2024

Human-machine interaction is an important area of research where machine learning algorithms with visual perception aim to gain an understanding of human interaction. State-of-the-art emotion AI Algorithms Outlook, current research, and applications What Is AI Emotion Recognition? About us: Viso.ai What is Emotion AI?

Convolutional Neural Networks 98

Convolutional Neural Networks Neural Network Computer Vision Emotion AI 98

Marktechpost

SEPTEMBER 1, 2023

Incorporating machine learning and deep learning algorithms has shown promise in bolstering security. In this context, a new article was published by a research team from the USA to address the growing security gap in mobile devices. These methods leverage unique user characteristics like typing patterns and facial features.

Deep Learning 105

Deep Learning Machine Learning Algorithm Convolutional Neural Networks 105

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. How Does Image Classification Work?

Convolutional Neural Networks 98

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 98

Unite.AI

NOVEMBER 6, 2023

In this article, we’ll look at the state of the traditional machine learning landscape concerning modern generative AI innovations. 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.

Machine Learning 204

Machine Learning Neural Network Deep Learning Convolutional Neural Networks 204

Marktechpost

SEPTEMBER 9, 2024

This article covers the top computer vision courses that can help you master this critical skill. Over two weeks, you’ll learn to extract features from images, apply deep learning techniques for tasks like classification, and work on a real-world project to detect facial key points using a convolutional neural network (CNN).

Computer Vision 64

Computer Vision Convolutional Neural Networks Neural Network Deep Learning 64

Viso.ai

DECEMBER 3, 2023

This article will provide an introduction to object detection and provide an overview of the state-of-the-art computer vision object detection algorithms. The recent deep learning algorithms provide robust person detection results. Detecting people in video streams is an important task in modern video surveillance systems.

Convolutional Neural Networks 98

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 98

Viso.ai

OCTOBER 7, 2024

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. Smart bins extensively employ computer vision algorithms mainly utilizing object detection and object recognition.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Robotics 52

Marktechpost

MAY 5, 2024

This article outlines the top ML courses in Python, offering readers the opportunity to enhance their skill set, transition careers, and meet the expectations of recruiters. Machine Learning with Python This course covers the fundamentals of machine learning algorithms and when to use each of them. and evaluating the same.

Machine Learning 122

Machine Learning Python Neural Network Convolutional Neural Networks 122

Heartbeat

NOVEMBER 14, 2023

Integrating XGboost with Convolutional Neural Networks Photo by Alexander Grey on Unsplash XGBoost is a powerful library that performs gradient boosting. One robust use case for XGBoost is integrating it with neural networks to perform a given task. It was envisioned by Thongsuwan et al.,

Deep Learning 52

Deep Learning Convolutional Neural Networks Neural Network Machine Learning 52

Viso.ai

DECEMBER 10, 2023

This article will cover image recognition, an application of Artificial Intelligence (AI), and computer vision. Later in this article, we will cover the best-performing deep learning algorithms and AI models for image recognition. Therefore, we will cover the following topics: What is image recognition?

Convolutional Neural Networks 98

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 98

PyImageSearch

NOVEMBER 13, 2023

One of the most popular deep learning-based object detection algorithms is the family of R-CNN algorithms, originally introduced by Girshick et al. Since then, the R-CNN algorithm has gone through numerous iterations, improving the algorithm with each new publication and outperforming traditional object detection algorithms (e.g.,

Convolutional Neural Networks 118

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 118

Unite.AI

MAY 24, 2024

This article aims to cover the MambaOut framework in depth, and we explore the mechanism, the methodology, the architecture of the framework along with its comparison with state of the art frameworks. million training images, and over 50,000 validation images.

Convolutional Neural Networks 130

Convolutional Neural Networks Neural Network BERT Natural Language Processing 130

Viso.ai

OCTOBER 15, 2024

This article provides a guide to the OpenPose library for real-time multi-person keypoint detection. However, in recent years, human pose estimation accuracy achieved great breakthroughs with Convolutional Neural Networks (CNNs). To solve this issue, the creators introduced a Symmetric Spatial Transformer Network (SSTN).

Convolutional Neural Networks 98

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 98

Marktechpost

JUNE 3, 2024

This article lists top Intel AI courses, including those on deep learning, NLP, time-series analysis, anomaly detection, robotics, and edge AI deployment, providing a comprehensive learning path for leveraging Intel’s AI technologies.

Convolutional Neural Networks 124

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 124

Unite.AI

SEPTEMBER 9, 2024

This article explores Google's journey in redefining video games. Central to this development was a convolutional neural network, trained using Q-learning , which processed raw screen pixels and converted them into game-specific actions based on the current state.

Convolutional Neural Networks 162

Convolutional Neural Networks Generative AI Neural Network AI 162

Marktechpost

APRIL 12, 2024

This article explores some of the most influential deep learning architectures: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transformers, and Encoder-Decoder architectures, highlighting their unique features, applications, and how they compare against each other.

Deep Learning 137

Deep Learning Convolutional Neural Networks Neural Network Natural Language Processing 137

Heartbeat

APRIL 4, 2023

Using Deep Learning Algorithms to Perform Image Style Transfer source: Chelsea Troy Artificial Intelligence (AI) has revolutionized the way computer vision and deep learning algorithms create stunning visuals. One of the fascinating applications of AI is Neural Style Transfer (NST). Let’s dive in!

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning Computer Vision 52

Unite.AI

AUGUST 1, 2023

OpenAI has been instrumental in developing revolutionary tools like the OpenAI Gym, designed for training reinforcement algorithms, and GPT-n models. Prompt 1 : “Tell me about Convolutional Neural Networks.” The spotlight is also on DALL-E, an AI model that crafts images from textual inputs.

Prompt Engineer 246

Prompt Engineer Prompt Engineering ChatGPT Convolutional Neural Networks 246

Mlearning.ai

MAY 18, 2023

This article focuses on evolution of object detection: a fundamental task in computer vision that involves identifying and localizing objects within an image or video. However, one notable early object detection algorithm is the Viola-Jones algorithm , introduced in 2001 by Paul Viola and Michael Jones.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Algorithm 52

Unite.AI

AUGUST 2, 2023

To tackle the issue of single modality, Meta AI released the data2vec, the first of a kind, self supervised high-performance algorithm to learn patterns information from three different modalities: image, text, and speech. In this article, we will be talking about the data2vec model in-depth.

Computer Vision 246

Computer Vision Convolutional Neural Networks Natural Language Processing Algorithm 246

Mlearning.ai

MAY 10, 2023

In this article, I explore the technical reasons behind this challenge but also delves (briefly) into the way our brain process information about human characteristic to further understand the complexities of hand drawings and our perception. AI Algorithms and Hand Drawing What does it mean to “draw” for an AI ?

Convolutional Neural Networks 98

Convolutional Neural Networks Neural Network Algorithm AI 98

Viso.ai

AUGUST 5, 2024

Faster R-CNN is a two-stage object detection algorithm. It uses a Region Proposal Network (RPN) and Convolutional Neural Networks (CNNs) to identify and locate objects in complex real-world images. Backbone Network The backbone network acts as the feature extractor for Faster R-CNN. Get a demo.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 52

Bugra Akyildiz

FEBRUARY 3, 2024

Articles Google wrote an article on the new graph based transformer architecture called Exphormer and how they scaled this model for their datasets. Graph transformers are a powerful architecture for machine learning on graph-structured data like molecules, social networks, and knowledge graphs.

Neural Network 52

Neural Network Convolutional Neural Networks Deep Learning Large Language Models 52

Chatbots Life

APRIL 16, 2024

In this article, we will delve into the concepts of generative and discriminative models, exploring their definitions, working principles, and applications. Examples of Generative Models Generative models encompass various algorithms that capture patterns in data to generate realistic new examples.

Convolutional Neural Networks 59

Convolutional Neural Networks Neural Network Natural Language Processing Machine Learning 59

Viso.ai

FEBRUARY 25, 2024

In this article, we’ll provide a deep dive into using computer vision for image reconstruction. Following that, the development of Convolutional Neural Networks (CNNs) was a watershed moment in the field. This step exists to provide the reconstruction algorithm with cleaner data to work on.

Computer Vision 98

Computer Vision Convolutional Neural Networks Neural Network Deep Learning 98

ODSC - Open Data Science

FEBRUARY 13, 2023

The field of data science changes constantly, and some frameworks, tools, and algorithms just can’t get the job done anymore. We will take a gentle, detailed tour through a multilayer fully-connected neural network, backpropagation, and a convolutional neural network.

Neural Network 98

Neural Network Convolutional Neural Networks Deep Learning Machine Learning 98

Viso.ai

MAY 20, 2023

The YOLOv7 algorithm is making big waves in the computer vision and machine learning communities. In this article, we will provide the basics of how YOLOv7 works and what makes it the best object detector algorithm available today. Later in this article, we will describe those architectural changes and how YOLOv7 works.

Algorithm 52

Algorithm Computer Vision Deep Learning Neural Network 52

Marktechpost

JUNE 22, 2023

These models have completely transformed how textual descriptions can be used to generate high-quality images by harnessing the power of deep learning algorithms. Check Out The Paper and Reference Article. The model was trained on 900 million image-text pairs from LAION-5B aesthetic dataset.

Convolutional Neural Networks 111

Convolutional Neural Networks AI Modeling Neural Network AI Tools 111

Unite.AI

FEBRUARY 21, 2024

This article focuses on a specific type of computer vision model, called Large Vision Models (LVMs), and how they can be leveraged for domain-specific tasks through transfer learning. Utilizing algorithms like MAML or Reptile , meta-learning allows LVMs to learn from diverse tasks, enabling efficient transfer learning across dynamic domains.

Computer Vision 147

Computer Vision Convolutional Neural Networks Neural Network OpenAI 147

Mlearning.ai

APRIL 8, 2023

Charting the evolution of SOTA (State-of-the-art) techniques in NLP (Natural Language Processing) over the years, highlighting the key algorithms, influential figures, and groundbreaking papers that have shaped the field. NLP algorithms help computers understand, interpret, and generate natural language.

NLP 98

NLP Neural Network Natural Language Processing Convolutional Neural Networks 98

Viso.ai

NOVEMBER 14, 2024

Embedded systems can ensure efficient image acquisition, data processing, and execution of vision-related algorithms by integrating sensors, cameras, and processing units. Generally, GPUs are pretty helpful in executing complex vision algorithms such as convolutional neural networks (CNNs) at a very fast speed.

Computer Vision 52

Computer Vision Convolutional Neural Networks Algorithm Neural Network 52

Unite.AI

SEPTEMBER 3, 2024

While GPUs were initially designed for rendering graphics, their architecture makes them exceptionally well-suited for the parallel processing requirements of many machine learning algorithms. Matrix Multiplication Matrix multiplication is a fundamental operation in many machine learning algorithms, particularly in neural networks.

Machine Learning 130

Machine Learning Convolutional Neural Networks Neural Network Algorithm 130

Viso.ai

OCTOBER 10, 2024

Pattern recognition is the ability of machines to identify patterns in data, and then use those patterns to make decisions or predictions using computer algorithms. At the heart of a pattern recognition system are computer algorithms that are designed to analyze and interpret data.

Neural Network 98

Neural Network Computer Vision Deep Learning Machine Learning 98

Unite.AI

AUGUST 29, 2023

In this article, we will be taking a deeper dive into the TinyML model, and learn more about its background, the tools supporting TinyML, and the applications of TinyML using advanced technologies. To design it, the developers used the gestures data set, and used the data set to train the ProtoNN model with a classification algorithm.

Neural Network 246

Neural Network ML Auto-classification Algorithm 246