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Techኢት Podcast S02E11 🎙

Guest:Henok B. Ademtew
Host: Ruth
Date: Tuesday , September 3, 2024
Time:8:00 PM (2:00 LT)

We’re thrilled to have Henok B. Ademtew on the Techኢት Podcast! 🎉 Henok is an AI researcher at the Ethiopian Artificial Intelligence Institute, with a focus on Deep Learning, NLP, and AI.

Henok is not only working in AI research but is also a hackathon powerhouse with participation in over 40 hackathons globally, where he has won numerous awards. 🚀 He also recently presented his work Amharic, Ge’ez, and English (AGE) parallel dataset at ACL2024.

Tune in to hear Henok discuss his journey, the challenges of AI research in Ethiopia, his hackathon experiences, and his vision for the future of AI in Africa. 🌟💡

Don’t miss out! Follow his telegram channel Neural Nets for more content and join us for an insightful and inspiring episode. 🤩

@Techinethio 
📅 Stay tuned! 🎧📢✨ 
#TechኢትPodcast

So today I had lunch with Samy Bengio(Director of AI at Apple), we talked about reasoning, his team at Apple, Yoshua Bengio Vs Yann LeCun, the weather in Montreal etc.

This should be a lesson for all of the people in Ethiopia who are egoistic with titles etc. I've heard you don't even get to talk more with your own advisors in unis sometimes and also directors/CEO/General managers or people at the top in your companies etc.

Learning to Reason is Hard

♦️Livestream

Scale and Responsible AI Development in Africa

https://www.youtube.com/watch?v=aV-E_fDHk7U

Cloud computing in Africa. You can see all the centers in Africa that offer services for training models and etc.

https://www.dataspires.io/

A Demo from 1993 of 32-year-old Yann LeCun showing off the World's first Convolutional Network for Text Recognition

Yann LeCun is a renowned French-American computer scientist and a pioneer in the field of artificial intelligence, particularly deep learning. He is often considered one of the "Godfathers of AI" along with Geoffrey Hinton and Yoshua Bengio. LeCun's groundbreaking work has significantly contributed to the development of convolutional neural networks (CNNs), which are a type of deep learning architecture that have revolutionized computer vision tasks such as image recognition and object detection. He is also known for his contributions to the development of the DjVu image compression technology

[Deep learning]

[Meta AI chief]

[AI will lead to a better world]

The Little Book of Deep Learning

I went through this book this month and it's one of the best, simple, brief and concise books for deep learning.


Download here

Job for SWEs

May the new year be a year you start doing something cool, awesome, novel, and not just "another web dev".

Happy new year 🎉

Discrete Fourier Transform (DFT)

Some people were asking about where math comes in machine learning so let me introduce you to DFT.

DFT is a mathematical technique used to convert a discrete signal from the time or spatial domain into the frequency domain.


Here is a notebook I made to give you a high level overview.

https://colab.research.google.com/drive/1bM5gzBi4TBCnrdbvDvtIyaB8pC1YIOLA?usp=sharing

YouTube from Luis Serrano

Google Deepmind podcast, JeffDean

https://youtu.be/lH74gNeryhQ?feature=shared

Once again, an AI system is not "thinking", it's "processing", "running predictions",... just like Google or computers do.

Giving the false impression that technology systems are human is just cheap snake oil and marketing to fool you into thinking it's more clever than it is.

What do you think?

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