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Continue reading →: Role of AI in Retail in 2023 — Trends, Tasks, & Technology
AI in Retail Introduction The retail industry is in a phase of transformation. It has seen rapid growth over the last few years and will continue to grow for many more years. Today’s biggest challenge retailers face is using technology in their business processes without spending too much money on…
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Continue reading →: Adapting Audio AI to Industry ApplicationVarious fields have been affected by the application of artificial intelligence, in particular, the one that converts data forms into audio formats. As such, more and more industry professionals are starting to recognize the value of properly processed audio data through audio annotation tools — which leads to it enhanced…
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Continue reading →: The Exploited Labor Behind Artificial Intelligence
The public’s understanding of artificial intelligence (AI) is largely shaped by pop culture — by blockbuster movies like “The Terminator” and their doomsday scenarios of machines going rogue and destroying humanity. This kind of AI narrative is also what grabs the attention of news outlets: a Google engineer claiming that its chatbot…
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Continue reading →: Precision to Healthcare Delivery with AI-Enabled Diagnosis
ai in healthcare Artificial intelligence (AI) has certainly augmented the diagnostic process through advanced and automated testing and medical imaging methods. Implementing AI in medical diagnosis has made the whole diagnosis process more efficient and effective, though human-enabled diagnostics are still found to be more reliable. Involving AI-empowered medical imaging…
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Continue reading →: How to Learn Mathematics For Machine Learning? What Concepts do You Need to Master in Data Science?
How to Learn Mathematics For Machine Learning? What Concepts do You Need to Master in Data Science? This article was published as a part of the Data Science Blogathon Are you an aspiring data scientist who is fascinated by how things workaround in the world of data science and machine learning?…
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Continue reading →: Utilizing Product Categorization for Organizing E-Commerce Products
With the advent of internet-based e-commerce stores, online shopping has become a significant part of everyday life. Pick the pack of preferred products, add them to the cart, pay online, and get them all delivered to the doorstep — buying things online is just a matter of clicks. Though online e-commerce stores,…
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Continue reading →: How To Interpret AI Medical Diagnosis: A User Guide
What determines whether a patient is suffering from an illness, and when? When you hear the term AI medical diagnosis, your first impression may be that it’s some synthetic human intelligence. In other words, this is a universal Human Intelligence Project run by artificial machines that can detect disease and…
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Continue reading →: How to Use AI To Improve Healthcare CommunicationAs AI continues to be utilized in healthcare, many professionals are painfully aware of the potential for artificial intelligence (AI) to disrupt our current work, play, and social lives. As such, it’s essential to understand how AI can be used to improve healthcare communication. Whether you’re a seasoned healthcare professional…
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Continue reading →: How bounding box object detection is taking over and what to do about it
bounding box object detection Bounding box predictors, also known as region proposal networks (RPNs), are a class of deep neural network layers used in computer vision tasks to generate proposals that can create masks around objects in an image. The bounding box is the smallest rectangular region within which an…
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Continue reading →: What Happens When You Outsource Data Annotation to Anolytics?The world’s economy will profit from the remarkable advancements provided by AI and machine learning, two of the fastest-growing technologies. But to develop such systems, a large amount of image labeling is necessary to teach the computers to recognize what we want them to look for. For the raw data…
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Continue reading →: List of the Best Training Datasets for Autonomous VehiclesAutonomous driving is a common application due to the advancement of computer vision technologies, training data for autonomous vehicles and the growing intelligence of the transport eco-system. Technical Underpinnings of Self-Driving Cars The vehicle itself must possess a variety of “skills” for autonomous driving, including perception, planning, decision-making, and control,…
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Continue reading →: Image Segmentation: The Deep Learning ApproachComputer vision is a branch of AI that deals with processing and comprehending digital pictures. Image segmentation deep learning is crucial in computer vision, with applications as diverse as self-driving automobiles and medical image analysis. Image segmentation is known as the technique of segmenting a digital image into many pieces.…
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Continue reading →: Latest Trends of Data Annotation in Machine Learning
Data annotation in machine learning is a term used to describe the process of labeling data in a way that machines can understand, either through computer vision or natural language processing (NLP). Another way, data labeling enables the machine learning model to perceive its surroundings, make judgments, and take action.…
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Continue reading →: Best Text Annotation Datasets and Tools for Computer Vision to Watch Out For In 2022
text annotation Machine learning and artificial intelligence are essential tools in current technology, yet they are often underappreciated. As a result, you might be shocked to find that, according to the 2020 State of AI and Machine Learning study, over 70% of firms utilize text as their primary data for…
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Continue reading →: How AI is Reshaping the Agricultural LandscapeUtilizing technology is not a new practice in the agriculture and food and beverage sectors. We’ve already seen intelligent robots that can weed and pick apples, biometrics that can offer real-time animal information, and sophisticated equipment that can pump milk from cows with minimal human intervention. However, as technology improves,…
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Continue reading →: Artificial Intelligence in the Security Industry: Interesting Use CasesThe migration of sophisticated analytics into practically every platform has been defined by the paradigm shift in physical security from a reactive and defensive proposition to a proactive one.
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Continue reading →: Why High-Quality Annotated Data is Required for Machine Learning?
We are surrounded by artificial intelligence (AI) and machine learning (ML). Both AI and machine learning have altered the way we live and work, making life easier and more comfortable. AI is powering everything from self-driving vehicles to smart and prompt email responses to smart interactions in social media networks…
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Continue reading →: How is Machine Learning in Retail Industry is Boosting Business Growth?The current pandemic has wreaked havoc on the great majority of industries around the globe. The retail business is no exception, but individuals are discovering that machine learning in retail industry can be used in a variety of ways to cope with the challenges.
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Continue reading →: 4 principles for responsible AI
Alejandro Saucedo is the engineering director at Seldon, and a chief scientist at the Institute for Ethical AI and Machine Learning, as well as the chair of the Linux Foundation’s GPU Acceleration Committee. Artificial Intelligence (AI) is set to become ubiquitous over the coming decade — with the potential to upend our…
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Continue reading →: Use cases of Image Segmentation Using Deep Learning
In the last decade, computer vision technology has advanced substantially, thanks to advances in AI and deep learning methodologies. It is now utilized in robotics and autonomous vehicles for image classification, face recognition, recognizing objects in images, video analysis and classification, and image processing. Many computer vision tasks need sophisticated…
Anolytics
Anolytics provides image, text, audio and video annotation services for computer vision and machine learning. Companies working on AI-based machine learning technologies who want to build a high-quality model may acquire high-quality annotated data with total confidentiality and anonymity, as well as cost-effective pricing.
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