Illustration of a human brain on a computer chip symbolizing cognitive computing

 

We’ve been tackling buzz words in the tech industry recently. This is because there is a certain trend that occurs once a term is coined. Everyone uses it without fully getting it and that causes misinformation, confusion, and sometimes fake news. This time around we are looking at the term cognitive computing.

 

Ah another week, another buzz word. Will it ever end? Probably not but hey that’s okay, it just gives us more to discuss with you and we love our chats. IBM Watson is grandfathered in for cognitive computing, they basically pioneered it into what it is today. Yet, if you’re new to the tech scene you may be like huh? What’s cognitive computing and when did IBM get a Watson?

And as a bonus, we’re looking at our pick for the top 5 companies using cognitive computing today.

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The word 'Computer Vision' arranged like an eye chart test

 

We’ve been tackling buzz words in the tech industry recently. This is because there is a certain trend that occurs once a term is coined. Everyone uses it without fully getting it and that causes misinformation, confusion, and sometimes fake news. This time around we are looking at the term computer vision.

 

When you look at an image of a crowd your brain can immediately figure out who is a familiar face, who is a stranger, who is a man or a woman, who is a child or an adult, and roughly someone’s ethnicity. You can also see the clothing people are wearing, who looks put together and who does not, and what time of day it is or season depending on the foreground and lighting.

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Abstract illustration of circles symbolizing a deep learning A.I. system

 

We’ve been tackling buzz words in the tech industry recently. This is because there is a certain trend that occurs once a term is coined. Everyone uses it without fully getting it and that causes misinformation, confusion, and sometimes fake news. In this article we are looking at the terms machine learning and deep learning.

 

Every time a new tool or app is invented, a new word follows. So, let’s tackle two that have been flying around our heads for the past few years: Machine Learning (ML) and Deep Learning (DL). Techies, business gurus, and marketers love these words and throw them around whether or not they understand the differences.

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Photos of diverse human faces symbolizing Kairos Facial Ethnicity Recognition

 

Diversity is strength. Diversity is great for your business. Diversity is happening. At Kairos we are mindful of how our face recognition technology will play a part in this important, and often sensitive, space. With the release of our new ‘ethnicity’ feature, I got the team together to discuss what this might mean for the world. If you’re curious to see your own information - Try it now.

 

In this article I’ll share some of the work Kairos is committed to, around diversity and inclusion. We’ll cover how ethnicity detection works, how it’s different from the practice of ancestry and the science of genealogy, and you’ll be able to view some cool examples of Kairos’ ethnicity detection accuracy.

5 million selfies uploaded, and counting

Read about how this app went viral across the web

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Illustration symbolizing Rapid API and Kairos Face Recognition

 

Application Program Interfaces (API) have been around since the early 2000s yet the marketplace for them has had immense growth within the last few years. The growth has been so rapid that a library of APIs has been a major wish list item for developers.

 

Iddo Gino has fulfilled that dev wish with the creation of RapidAPI.com, a marketplace that allows developers to search, find, test, and use all available public APIs within minutes.

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