https://medium.com/@matelabs_ai/why-do-we-need-the-democratization-of-machine-learning-80104e43c76f
We
are living in an era of hype. In this article, I am trying to discover
the hype around Artificial Intelligence. The First thing I want to clear
is that ML/DL are algorithms, neither conscious nor intelligent or
smart machines.
There’s more to Artificial General Intelligence
than just Machine Learning or Deep Learning. I agree that Deep Learning
has penetrated industries and it holds the potential to disrupt
industries, but it is nowhere near to being conscious or an intelligent
machines.
The term Masses is so powerful that once aligned together, it brings revolutions.
Singularity, AI taking over the world, End of the world
were one of the most used phrases in the media last year. Media being a
primary source of information for most of the people, including
investors and financial institutions which makes it a vicious circle
fuelling the hype and adding air to the bubble. It can be good or bad,
but if it bursts it is going to affect us all (includes you too). If you talk to the researchers or the experts, their views on this are poles apart. They echo AI is over-hyped and AGI is far away.
We have a long way to go to achieve true Intelligence. Current AI(Deep
learning/Machine Learning) applications can only do what they are
trained to do. When the knowledge flows from the source to the
publications, it gets distorted.
AI is a pie and everyone wants to have a bite of it.
AI/ML
tools are limited to the researchers, industry, colleges and labs. They
are not accessible to the masses in a simple easy-to-use form. In the
last 2–3 years we have seen some pretty interesting use cases of modern
deep learning. Apps likes Prisma showed us that we just need to be
creative to make it available to the masses. It uses deep learning to
extract styles from images(“Vincent Van Gogh’s Starry night”, “Picasso’s
Self Portrait 1907”, “Frida Cahlo”) and apply extracted styles on to
your images. AI as a lawyer, AI as a painter and AI as a doctor and so
on, just name it and you will find a startup/company working on it.
If
I talk about industry use cases, Baidu runs a food delivery service and
it uses AI to predict how long the food will take to get to the
customers. Google uses deep learning for machine translation, search and
for other products. Facebook uses it to recognize faces in your images
which you upload on Facebook. GANs (Generative Adversarial Network) are
the type of neural networks which learns to imitate and produce original
content. Google Research used GANs to invent an “encryption” protocol.
Andrew Ng, Chief Scientist at Baidu research says
AI is the new electricity
In
the next 3–5 years AI/ML is going to affect almost every industry.
Infact it is a new industry and it is worth billions of dollars right
now. A report by Bank of America Merrill Lynch forecasts it to be USD 14
Trillion by 2025, and it is a HUGE number.
61%
of companies in this survey by Wall Street Journal are planning to use
AI within 5 years for business analytics, 45% for Machine Learning and
21% for self-learning robots. According Stackoverflow’s Report,
the global economy is seeing an explosion in the demand for Machine
Learning expertise this year as much as 3700 times more than year 2016. This is HUGE!
And, we
are missing out on one very important user group, which is general
people. What if users can participate in the creation of the AGI.
Creative users, coming out with use cases which we had never thought of.
What they need is easy-to-use tools. AI with
everyone is the future of AI. Personal computers revolutionised
industries and powered people with tools that amplify one’s creativity
and productivity. Internet came out and connected us all together.
Handheld devices like Mobile and tablets have given us all of that power
in our hands. Now it’s time for AI to go into everyone’s hands, next
revolution is getting in shape now and everyone has to participate in
shaping it. AI can find the cure for diseases which we were unable to
cure for centuries like Cancer, Sclerosis and other diseases. It holds
the power for a better future, a future which we have always dreamt of.
As
far as the world is progressing, most of the programming might not even
exist in the future. AI will code for us in the future. Data is one
thing which I bet on, second is how we think and how we use AI for our
betterment and betterment of the society. We dream of humans and AI
working together as companions making world a better place.
It
is our responsibility to shape it well, so that it doesn’t go rogue.
Our curiosity will lead us there. One day we will reach there, true AGI.
This is what we need:
- Open Source tools and libraries
- Open source datasets to encourage developers
- Open educational material like videos, tutorials, articles and easy to unserstand description of research papers.
- Open groups to discuss AI/DL and community building.
- All of the above do exist in some form, what is not there is a tool for masses to play around with ML/DL and contribute back to the society. Until now.
A revolution is happening right now, the whole world is embracing it. Mate Labs
wants to be there as one shoulder for people to bank on and fuel this
revolution by enabling everyone with the right tools, libraries,
datasets and educational materials. We believe in building a community
of enthusiasts, curious and thirsty folks standing for innovation and a bright future.
We have open sourced the implementation of All Convolutional Networks
which is available on Github. We have also published a suite of
easy-to-run scripts to install Tensorflow and Docker on your system to
get you started. More to come soon.
Previously we’ve shared.
- A very crisp explanation of All-CNN’s implementation. How these researchers tried something unconventional to come out with a smaller yet better Image Recognition.
- Our Vision. What Everyone is not Telling You about Artificial Intelligence
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