Understanding Image Recognition and Its Uses cases

Vision is easy for human brains. We can easily tell apart a tree, a bus, a dog, or an airplane. But its not the same with computers. It takes a lot of effort and skill to teach machines to ‘see’ like us. But humans have been successful in doing so. We have enabled machines with our natural skills to see, learn by example, and understand the world. With the help of computer vision and image recognition, we have taught machines to perform tasks involving vision. And when this capability is brought into businesses with a practical purpose, all this effort is worth it. 

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Computer Vision Advantages and Disadvantages

Artificial intelligence encompasses several different approaches to solving problems. Computer vision, object detection, natural language processing, and other types of artificial intelligence help businesses and individuals automate processes, improve accuracy, and work more efficiently. The subset of AI known as computer vision centers around visual processing and offers benefits in a range of applications. 

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Understanding 3 Types of Machine Learning Algorithms

Machines learn through algorithms—sets of rules or instructions—that allow them to continually improve through experience. In contrast to programming, which can tell a machine to do a specific task in the same way over and over, machine learning algorithms modify themselves over time based on the original goal set and previous results. 

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How Artificial Intelligence Is Transforming Agriculture

Agriculture is how humans started to mold nature according to their needs. Humanity may have come a long way since then, changing the ways and methods of farming, but the basic objective remains the same; improving the quality of crops.

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Workplace Safety on a Manufacturing Shop Floor Using Computer Vision

Just a few decades ago, workplace safety in manufacturing used to be an afterthought. Workers in the manufacturing industry may recall many near-miss accidents that have occurred, especially related to heavy equipment and lack of safety controls. 

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Automated Image Tagging In E-commerce Using Machine Learning

Image recognition, machine learning and visual search have changed the way we interact with the world. This latest development in machine learning has transformed the e-commerce industry. Automated tagging of images play a crucial role in visual search. In an age of instant gratification, consumers follow the snap, find, and shop technique. The user clicks a product picture, finds a similar item on an app, and purchases it. Discovering products becomes much easier using tagged images rather than text-based keywords.

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Personalization in B2B Ecommerce Using Machine Learning

From fashion to farming, every industry must adapt and reinvent. Businesses must make sure that they make the necessary changes to remain relevant. Thus, the need to apply Artificial Intelligence in daily processes becomes a necessity.

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E-commerce Product Recommendations - A Simple To Understand Guide

As an e-commerce platform, don’t you feel your customers are spoilt for choice? Whether it be groceries, accessories, home decor, or anything under the sun, consumers are exposed to unlimited options. This makes the decision-making process relatively more complex. So how can you make your customer’s life easy? Of course, through AI-powered product recommendations, so that they finalize what to buy based on ‘what’s trending’, ‘‘top sellers’, etc. 

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How Artificial Intelligence Is Helping Combat Corona Virus

As Corona virus is spreading heavily in China and across the globe, hospitals are overcrowded and brave doctors are fighting round the clock to contain this pandemic.

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How Artificial Intelligence Is Making Healthcare Better

Many healthcare institutions are looking forward to implement AI into their organizations to improve their operations and quality of patient care. Many such organizations have already implemented AI tools. With many articles being written on how AI is stealing human jobs, actually AI is re humanizing healthcare  by helping healthcare professionals focus more on interacting with patients rather than spending time on routine tasks.

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