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AI, Data Science and Machine Learning

How Artificial Intelligence Is Transforming The Future Of Renewable Energy

As the world’s power demand continues to soar, the energy sector is staring at a unique challenge. In addition to meeting increasing global demand, it must achieve the milestones that’ll help us…

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AI, Data Science and Machine Learning

AI in the healthcare industry: Use cases for artificial intelligence in the healthcare market

Artificial intelligence (AI) is ushering in a better healthcare industry through algorithms, robotics, and data analytics. These improvements have become more apparent during the COVID-19 pandemic, where robots were deployed in hospitals…

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AI, Data Science and Machine Learning

The Transformative Potential of AI in Logistics

When we talk about the fascinating potential of “AI” technology, we visualize a future of self-driving cars, robots performing high-precision surgeries, blockchain-powered fin-tech revolution, e-commerce, and much more. We seldom notice that…

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AI, Data Science and Machine Learning

AI and Image Data: From Fancy to Serious

Recently, machine learning models confidently stepped into a new phase of their evolution. Originally, they emerged as classifiers and predictors, but now they can generate completely new data on their own. That…

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AI, Data Science and Machine Learning

AI in the fashion industry: Use cases for applying machine learning in fashion

USD $4.4 billion.  This is the forecast value of the global artificial intelligence (AI) market in the fashion industry by 2027, according to research firm Statista.  What is driving the rapid integration…

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AI, Data Science and Machine Learning

AI and Data Science for a Better, Smarter, Sustainable Environment

In the decade gone by, no discussion on emerging technology trends has been complete without the mention of Artificial Intelligence (AI). It has now become a mainstream technology, touching all aspects of…

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Smart Cities: How Drones, Satellites, AI, and Image Recognition Can Make Them A Reality

Traditional ways of monitoring modern cities often prove to be inefficient. Due to a huge extent of the necessary manual effort, they require a lot of resources that a city may lack. Besides, what needs to be done by hand…

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