Generative AI gleans from given artefacts to generate new, realistic artefacts that reveal the attributes of the training data without repeating it. A number of model content can be produced which include images, video, music, speech, text, software code, along with product designs. It utilizes numerous techniques which are continuously evolving. At the forefront are AI foundation models that can be trained on a wide range of unlabeled data which can be utilized for various tasks with extra fine-tuning. Complicated math and immense computer power are needed for creating these trained models wh ..read more

Image annotation establishes the standards that is copied by the model along with any errors in the labels. Hence, accurate image annotation sets down the foundation for the training of neural networks enabling annotation to be among the most important tasks in computer vision. Image annotation can be done manually as well as by using an automated annotation tool. Automated annotation tools have pre-trained algorithms that can annotate images with a certain level of accuracy. Its annotations are necessary for complicated annotations that involve creation of segment masks. Various tasks require ..read more

The era we live in delves deep into digital and technological advancement. When the world is basking in the glory of artificial intelligence, the fact that it brings into risk numerous aspects of life (professional & personal) cannot be ignored. Every industry is enjoying the countless magical benefits of AI. At the same time, struggling to keep their security game up. Real-time facial landmark tracking is one of the most sought-after techniques that can safeguard your personal and professional assets. Be it entertainment, gaming, or medicine, – every industry can utilize face land marking ..read more

Data annotation helps in establishing a link between the input and output for machine learning models. As of today, there are various types of image and video annotation techniques, but, among them the most basic type is the bounding box technique. This technique involves manual labeling or annotation of an image with a bounding box. It is popularly used in computer vision and machine learning applications for object detection. It involves drawing a rectangle around an object or feature of interest and labeling it with a class label. Coordinates are specified on the top left hand corner and bo ..read more

Speech recognition technology plays a crucial role in the development of self-driving cars, enabling passengers to interact with the vehicle through voice commands. This advanced feature enhances the overall driving experience by providing a convenient and hands-free way to control various aspects of the vehicle’s functionality. Using sophisticated algorithms and machine learning techniques, the car’s onboard computer system can accurately recognize and interpret spoken commands from passengers. This technology allows passengers to perform a wide range of functions without manual input, such a ..read more

In today’s digital age, consumers have access to a range of products and services thanks to e-commerce. The abundance of products makes it difficult for customers to choose the ones that best suit their preferences and needs. AI is used in this process through machine learning. Data analysis and algorithms can enhance product categorization for e-commerce businesses and enable them to gain a deeper understanding of their high-level customers. In e-commerce platforms, product classification can be automated by applying machine learning algorithms to attributes, features, or other relevant facto ..read more

Data Labeling: What is it? An image, video, text, or audio can be labeled with tags or labels. A machine learning model learns to identify these particular classes of objects by using these tags to identify the objects in the data. Machine Learning Training Data: What is it? Machine learning models learn about data when they are fed training data. A machine learning model will need to use a variety of training data types, including images, audio, text, or features, based on the task at hand. You can annotate or unannotate it. The corresponding label is called “ground truth” when training data ..read more

In the agricultural industry, technological advancements have long been needed. In the face of a growing world population, land resources are becoming more scarce, and the need for sustainable farming methods is more important than ever before. Agricultural automation and robotics have seen a rapid rise in recent years, a trend that is only expected to continue. By combining artificial intelligence and machine learning, agriculture could be revolutionized, increasing yields, reducing labor costs, and creating a more sustainable world. What is Robotics Agriculture? In robotic agriculture, robot ..read more

We live in the digital era and have become increasingly dependent on social media for communication. There is a large number of professionals who are termed as influencers on social media because they have a fan following. A large number of audience look up to them and take their recommendations seriously. Influencers utilize social media as a powerful platform to communicate their thoughts, opinions, and experiences with their followers. In spite of this, the use of social media has increased, as has the number of inappropriate and harmful posts, making it more difficult for social media comp ..read more

We have stepped into an era, where Machine learning (ML) and artificial intelligence (AI) play a huge role in the retail industry, especially for those that heavily rely on online sales. AI has been successfully integrated by big players such as eBay, Amazon and Alibaba throughout the entire sales cycle. Machine Learning prove to be beneficial to businesses irrespective of how big or whether they sell products exclusively online. This guide talks about the best ways in which online retailers and brick-and-mortar physical stores of any size can use Machine Learning in retail to increase overall ..read more