Matthew McMullen
Bio
11+ Years Experience in machine learning and AI for collecting and providing the training data sets required for ML and AI development with quality testing and accuracy. Equipped with additional qualification in machine learning.
Stories (38)
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Applications and Role of AI in Smart Cities for Sustainable Development
As per the international organization reports, globally more than fifty percent population is living in urban areas, and by 2050, more than two-third population will live in cities providing big investment opportunities of tech development companies.
By Matthew McMullen 3 years ago in Journal
Filtering Out the Bad: 5 Reasons to Use Content Moderation
Publishing user-generated content is one approach to increase brand awareness and trust. Even the most well-known companies rely on user-generated content to get top results in search engines. However, releasing this material has a risk: you must guarantee that people depict your business in a positive way. This is where the concept of content moderation comes into play.
By Matthew McMullen 3 years ago in Journal
Semantic role labeling
In natural language processing for machine learning models, semantic role labeling is associated with the predicate, where the action of the sentence is depicted. SRL or semantic role labeling does the crucial task of determining how different instances are related to the primary predicate. Semantic Role Labelling is also referred to as thematic role labeling and goes systematically for interpreting the syntactic expression of a sentence, ideally, with the parsing tree method.
By Matthew McMullen 3 years ago in Journal
Text Annotation, Use Cases, and Its Usability to Machine Learning
Although the world has shifted rapidly towards digitization, some documents and papers still contain some of the most complex information. As public information becomes more abundant, the challenge of making raw, unstructured data machine-readable arises. As a matter of fact, video and images are easier to comprehend than text. As an example, we can take "what's up." It is likely the human brain will interpret this phrase as a question, concern, or inquiry about someone. However, a machine may perceive the meaning of the text as it intends to, i.e., what is literally up, such as the fan, the ceiling, the ceiling.
By Matthew McMullen 3 years ago in Journal
Healthcare: AI-led Medical Coding and Billing Favoring Sectoral Growth
The Healthcare sector is among the largest and most critical service sectors, globally. Recent events like the Covid-19 pandemic have furthered the challenge to handle medical emergencies with contemplative capacity and infrastructure. Within the healthcare domain, healthcare equipment supply and usage have come under sharp focus during the pandemic. The sector continues to grow at a fast pace and will record a 20.1% CAGR of surge; plus, it is estimated to surpass $662 billion by 2026.
By Matthew McMullen 3 years ago in Journal
How Sentiment Analysis is used for Effective Stock Market Predictions?
The stock market is one of the most sensitive fields, where sentiments of the people can change the trend of the entire market. Actually, there are many factors, affect the movement of the stock market and, the sentiments of the traders are also one of them drive the market.
By Matthew McMullen 3 years ago in Journal
Image Annotation: A Quick Insight into How We at Cogito Annotate Images
A major step in the development of computer vision systems, AI-based machine learning models, and prediction applications is building well-optimized training data, i.e., the training data that consists of high-quality image annotation and labeling. The AI training data, as a matter of fact, is a principal prerequisite for enabling computer vision systems to recognize, obtain, characterize, and interpret results. Autonomous vehicles, medical imaging, and security & surveillance are some of the AI applications that use computer vision. Image annotation eventually tends to be the most critical part of the AI implementation plan for almost every industry that aims to implement automation in their business or industrial process.
By Matthew McMullen 3 years ago in Journal
Computer Vision Technologies in Robotics: State Of the Air
Introduction: In the face of the rise of artificial intelligence and computer vision has become a critical part of applying the technology to everyday problems. Computer vision robotics is one of the most used AI techniques to improve human performance.
By Matthew McMullen 3 years ago in Journal
How do we annotate an Image
Business-specific image annotation customized to your automation goals — let custom image annotation experts bring you the aid to functionalize your AI model. Cogito specializes in image annotation technology and image annotation deep learning services.
By Matthew McMullen 3 years ago in Journal
Interesting things to know About AI Image Labeling Companies
The process of recognizing and labeling distinct aspects of an image is known as image labeling. When automating the process of creating metadata or providing suggestions to consumers based on features in their photographs, image labeling comes in handy.
By Matthew McMullen 4 years ago in 01
AI: An Ace of Technology for A Healthier Healthcare System
Artificial Intelligence (AI) is all the buzz around as it goes about automation and its integration into life-led systems. It’s all for the sake of ease and improved efficiency. The world, as we see it, stands to benefit greatly from AI implementation. While the adoption of AI has already been widespread in certain industries, the healthcare industry yet remains to keep up with the course — the course of the fast-changing symmetry of AI penetration into clinical practices and procedures.
By Matthew McMullen 4 years ago in Journal
Artificial Intelligence Uses Cases for the Fashion Industry
Fashion connotations have transformed; more starting with the 21st-century Conventional to modern, to modern-conventional, followed by a symbiosis of modern-tech - trends have changed, and the facades of fashion galleries seem evolved; with techno AI in fashion design logy gliding into the fashion sector, the industry has turned futuristic.
By Matthew McMullen 4 years ago in Futurism
