artificial intelligence – Latest Updates

How Data Annotation is used for Speech Recognition

Speech recognition refers to a computer interpreting the words spoken by a person and converting them to a format that is understandable by a machine. Depending on the end goal, it is then converted to text or voice, or another required format. For instance, Apple’s Siri and Google’s Alexa use AI-powered speech recognition to provideContinue reading “How Data Annotation is used for Speech Recognition”

Artificial Intelligence Terminology: A Beginners Guide

Artificial intelligence (AI) is a broad field of computer science involving the development of computer systems that are capable of performing tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. AI is used in a variety of applications, including robotics, natural language processing, expert systems, gaming, andContinue reading “Artificial Intelligence Terminology: A Beginners Guide”

Implementation of Artificial Intelligence in Gaming

What is AI in Gaming? AI in gaming is the use of artificial intelligence to create game characters and environments that are capable of responding to a player’s actions in a realistic and dynamic way. AI can be used to create believable characters that can interact with the player, create dynamic levels, and generate newContinue reading “Implementation of Artificial Intelligence in Gaming”

Insurance Claims: Data Annotation Types for Computer Vision

Machine learning is already being employed across multiple industries to automate the processes that are slowed down by manual, repetitive steps. With advanced algorithms, techniques, and frameworks under the hood, AI tools can accelerate the process of recognizing damaged vehicle parts, assessing damage, making predictions about what kind of repair is needed, and estimating howContinue reading “Insurance Claims: Data Annotation Types for Computer Vision”

Synthetic Data: Description, Benefits and Implementation

The quality and volume of data are critical to the success of AI algorithms. Real-world data collection is expensive and time-consuming. Furthermore, due to privacy regulations, real-world data cannot be used for research or training in most situations, such as healthcare and the financial sector. Another disadvantage is the data’s lack of availability and sensitivity.Continue reading “Synthetic Data: Description, Benefits and Implementation”

Image Annotation: A Quick Guide

What is image annotation? Image annotation is defined as the task of labeling and image with human-powered work and, in some cases, computer-assisted assistance. Labels are predetermined by a machine learning engineer and are chosen to provide information to the computer vision model. Image annotation frequently requires manual work. A Machine Learning engineer determines theContinue reading “Image Annotation: A Quick Guide”