aicoding 3Speak Podcast: Recent Episodes

aicoding

Listen and watch the latest videos from aicoding. Hosted by 3Speak.tv. The free speech video platform on the HIVE blockchain.

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https://3speak.tv/watch?v=aicoding/ivftkmsc
I have been saying that universities will become useless even before starting university myself. It is not a secret that with the advancenments in technology and globalization, some university degree are not keeping up on how to tackle today's real-life problems.

As I am naturally curious about Artificial Intelligence, and I have been following how AI is being applied to multiple fields, I also find fascination how AI can help improve our current educational system. Have you thought about this before?

Think about it. There are many different things that current educational system is not accounting for when trying to educate our children. For example, the attention spam of people is ever shrinking. You can see that by understanding the impact or influence the platforms like TikTok aactually have on today's younger generations. On top of that, since centuries we have known that people aare different so I don't believe that one educaational system can fit all of us. It just doesn't work like that. That is the beautiful part of today's online educational platforms: study what you consider interesting and do it at your own pace.

However, there is still a bit more than just that. Obviously, after I graduated from university, I haven't consult any single resource that my teachers provided me with to try to solve any real life problem at work. Not even in a problem in life! I go to Google, YouTube or jsut purchase a very good course online that I consider to be valuable. I get to chose who is intereting and who shapes my knowledge.

I am a content creator myself, and I always think about the differences in my audience. The type of people that watches my content. How can I make it interesting for them and easy for me? Also, let's consider the fact that with time we are only trying to make life more efficient. How efficient it is to have a teacher explaining something if you can have a pre-recorded video explaining everything 100 times better? You save a lot of resources!

Well, I think these are just a few things to consider when talking about AI in education. One of the platforms I came accross lately was synthesia.io- which is an AI video generation platform. Get a text book from school, plug it in this platform and your content will be automatically createed. Voilá! Why would you need more? You can adapt to new circumstances, cut the time - shrink it, adapt it to everyone's own attention spam and capabilities, zero effort and serve multiple people out there.Also with this you can make education more accessible.

I see a lot of potential in this. I made a small video with their platform where I used one of my Tweets as input - looks great.

What do you think?

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https://3speak.tv/watch?v=aicoding/onumzfre
Today I wanted to share another way to visualize HIVE data! Welcome to the Total Payout Race, where I share a bar chart race of the top 10 authors per month per year. In this video, I am sharing with you the top accumulated payouts for the year 2016. Since this one it is a biit tricky - data is from 5 years ago - I have decided to categorize the authors in either Active or Not Active users.

Hope you like it and follow for more cool Hive Analytics.

In this video:

@dollarvigilante

@gavvet

@ericvancewalton

@fairytalelife

@charlieshrem

@calaber24p

@ozchartart

@dragonslayer109

@jacor

@falkvinge

@knozaki2015

@terrycraft

@roelandp

@sirwinchester

@curie

@steemsports

@macksby

@infovore

@krnel

@sweetsssj

@hanshotfirst

@jrcornel

@thecryptofiend

@the-alien

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https://3speak.tv/watch?v=aicoding/ohwnrtzf
I had a crazy idea of creating a “video game” using the Raspberry Pi 4 and a cool machine learning algorithm working on the backend. Happens that the idea was too big to execute fast and I got a bit frustrated trying to make everything perfect. So I decided to just divide it in small tasks and keep you updated, perhaps you have better ideas on how to optimize this.

Basically I want to be able to complete and verify a sudoku by virtually writing with a pen. The mechanism is a bit more complicated than the description.

I managed to build the first part, I adapted the Virtual Pen and Eraser created by the amazing team behind LearnOpenCV and created a CNN model to recognize the digits. Basically I write with my virtual pen a number and I can make my little processor predict which number I wrote. Sounds cool huh?

Thing is, it was a bit complicated to match matrices and dimensions ~ but it works okeish! Anyways, I want you to take a look at it, play around with it and send me some great input so I can make this idea real and fast.

And yes I did the video on my Mac cause I couldn’t manage to screen record my raspberry pi while executing cv2 🙄 but I built it and test it on the Pi and works crazy cooooool 🤯

What do you think?

GitHub: https://github.com/coding-ai/raspberrypi_handwritten_recognition