The use of no-code platforms – and their low-code relatives, which require minimal coding knowledge – is on the rise. This trend represents a step towards the decades-long goal in computer science to automate manual coding. This article will cover the following topics: What are no-code and low-code platforms? Low code and no code for AI Business benefits of platforms   About us: At viso.ai, we power Viso Suite, the leading no-code/low-code computer vision platform. Our technology is used by leaders worldwide to rapidly develop, deploy and scale real-time computer vision systems. Get a d ..read more

Autoencoders are a powerful tool used in machine learning for feature extraction, data compression, and image reconstruction. These neural networks have made significant contributions to computer vision, natural language processing, and anomaly detection, among other fields. An autoencoder model has the ability to automatically learn complex features from input data. This has made them a popular method for improving the accuracy of classification and prediction tasks. In this article, we will explore the fundamentals of autoencoders and their diverse applications in the field of machine learni ..read more

Self-supervised learning is a machine learning approach that has caught the attention of many researchers for its efficiency and ability to generalize. In this article, we’ll dive into the techniques, latest research, and advantages of self-supervised learning, and explore how it is being used in computer vision. Background and definition of self supervised learning The differences between supervised and unsupervised learning. Challenges and advantages of self supervised learning The learning process and popular methods Recent research and applications of self supervised learning.   Abo ..read more

Artificial Neural Networks (ANNs) have been demonstrated to be effective in many cases of supervised learning, but programming an ANN manually can be a challenging task. As a result, frameworks such as TensorFlow and PyTorch have been created to simplify the creation and use of ANNs. With the increased interest in deep learning in recent years, there has been an explosion of machine learning tools. In recent years, deep learning frameworks such as PyTorch, TensorFlow, Keras, Chainer, and others have been introduced and developed at a rapid pace. These frameworks provide neural network units, c ..read more

Optical Character Recognition or Optical Character Reader (or OCR) describes the process of converting printed or handwritten text into a digital format with image processing. If you’re looking for a guide on Optical Character Recognition (OCR), look no further! In this article, we’ll discuss what OCR is and how it works, as well as some of the best tools, algorithms, and techniques for OCR. We’ll also cover the benefits of using OCR and describe the most important OCR applications and use cases of AI to read text from images. Our background: At viso.ai, we power the end-to-end computer vision ..read more

In the field of computer vision, supervised learning and unsupervised learning are two of the most important concepts. Supervised learning involves a training dataset created by a data scientist to teach a machine how to recognize specific patterns. On the other hand, unsupervised learning does not involve any training data. Instead, it relies on algorithms that detect patterns in data automatically. In this guide, we will explore the differences and when to use supervised or unsupervised learning for computer vision tasks. We will also discuss which approach is best for specific applications ..read more

In the years to come, Natural Language Processing (NLP) will be an essential technology for organizations across most industries. NLP is a process by which computers use AI technology to understand text or voice data and respond with text or speech of their own. If you’re wondering what Natural Language Processing is and how it will change the way companies automate manual processes and interact with their customers, then this guide is for you. NLP has been used for many years in customer service chatbots, and it is becoming more and more popular for use in other areas such as marketing, finan ..read more