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Covid-19 has hit the fashion industry hard, as of May 2020 sales of clothing and accessories were down 62.4% in the US alone. The restrictions placed on in store shopping have greatly impacted the sector and many brick and mortar operations are now struggling to survive. However, the pandemic

What makes an Ideal dataset? What are the pros and cons of open source datasets? Joined webinar with our partner Cloudafactory will cover these questions and many more. Here is what we will talk about in the webinar: * What makes the ideal data set * The pros and cons of open

“The superpower of these AI systems is that they can look at all of these large amounts of data and hopefully surface the right information or the right predictions at the right time” – The Harvard Gazette, “AI revolution in medicine” Artificial intelligence (AI) has the potential to save lives. In

We live in the era of big data. Every 18 to 24 months we generate as much data as has been generated in all prior human history. The exponential growth of digital data, primarily through the internet, has been of enormous benefit to the development of machine learning. The variety

A car stops automatically as a pedestrian crosses the road, a drone notices that a cow has gone missing from the herd, a medical Artificial Intelligence (AI) detects a treatable abnormality. In each case an AI system is identifying an object, locating it in an image and then assigning it

“AI, robotics and other forms of smart automation have the potential to bring great economic benefits, contributing up to $15 trillion to global GDP by 2030.” * PriceWaterHouseCooper report, How Will Automation Impact Jobs Robotics and manufacturing automation has the potential to transform and disrupt the global economy in the coming

Data augmentation, deep learning, and AI are changing the way we see the world. From robust facial recognition software to self-driving cars to a data-driven, multi-faceted response in the face of a global pandemic. Here’s how automating data augmentation has allowed data scientists and medical researchers to join forces