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Did you know that human DNA and chimp DNA are 98.8% the same? Although this number may sound small, humans and chimps are very different when we go into our DNA. Out of the roughly three billion base pairs that make up our genetic code, 1.2% of them equates to over 35 million genetic differences.


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A visual representation of transfer learning. (Image Source)

Imagine you’ve just started a company, and you want to implement AI image recognition to help people differentiate between the different types of birds in the wild. This task is very monumental, especially for a company with little to no resources and money. It seems the only way to get around this is to just blatantly copy someone else’s model, but that’ll make it difficult for you to optimize the accuracy to your specific problem.


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Neuronal pathways in the brain. (Image Source)

10 million people worldwide have Parkinson’s disease, while 3 million adults worldwide have epilepsy. These neurological diseases have been common in most elders for a long time, and despite heavy research into these topics, little headway has been made in them.


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The year is 2100. Your granddaughter’s about to have a baby in a few months, and the doctor recommends buying a few “modifications.” You sigh in disappointment; back in your day, it was never this complicated. You just got what you were born with, and that was it. Nowadays, parents can afford to give their child whatever they want, from a higher metabolism to a different eye color to more intelligence. And of course, they can get rid of any genetic defects that the child is born with if they so choose.

You reminisce back to the old days where…


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Netflix. Twitch. Linkedin. Facebook. Twitter. What do all of these big companies have in common besides their shared success? They all have an AWS backend, which allows them to scale quickly at a cheaper cost than utilizing traditional in-house servers.


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Today, there are thousands of courses out there for computer science, so it can be difficult to determine which ones are the most useful for taking and which ones will provide no value. Below are 5 platforms that I’ve found personally useful (in order of difficulty) as well as recommended courses for each of them.


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I’ll be upfront with you, getting internships is hard. Like really hard. If you don’t have the right connections or a general idea of what you want to do, you may end up trying to get one for months with no success.

Although it may be difficult, there are many things you can do to optimize your chances and produce a strong application. Below are some steps to boost your chances.

Note: Most of these steps will actually help you with other forms of employment as well, from freelance work to full-time jobs.

A Quick Background

Many of you may think that a…


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A general representation of training a Haar classifer. (Image Source)

You see facial recognition everywhere, from the security camera in the front porch of your house to your sensor on your iPhone X. But how exactly does facial recognition work to classify faces, considering the large number of features as input and the striking similarities between humans?


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A representation of a variational autoencoder. (Image Source)

Imagine this: you’ve spent forever perusing the internet for images, and you’ve finally found the perfect image to put inside of your presentation. You save the image and move it to your presentation, when you realize, the image has a watermark! You angrily start to pick up your water bottle to throw at the computer when you remember a computer program you created a while back in your AI class: the perfect way to remove watermarks, using autoencoders.

Well, that’s a bit of an understatement about what autoencoders can do, but still an important one nonetheless! Autoencoders are used in…


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A futuristic view of hyperloops with Virgin Hyperloop One. (Image Source)

Recently, I had the chance of moderating a fireside chat with Meit “Matt” Shah, who’s part of the product and technology management team at Virgin Hyperloop, one of the companies at the forefront of hyperloop technology. Throughout the talk, he shared insights into Virgin Hyperloop’s own technology and insights into the hyperloop space in general. If you’re not familiar with hyperloops, I suggest you skip down to the “Further Reading” section and check out the article there. Here are my main takeaways from the fireside chat:

Takeaway #1: Hyperloops will be invaluable in the cargo and the transportation industry.

Aditya Mittal

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