AA
Aravind Ag44w
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Presented by
Founder & Research Vice President at 451 Research, Nick Patience, and Sajesh Gopinath, UST SmartOps GM
In this 38,000-word (really) long post (Neuralink and the Brain's Magical Future), Tim Urban does a brilliant analysis of why Elon Musk wants to start Neuralink — his latest company that wants to build a neural lace, a high bandwidth whole brain interface that can read and write to the brain at the same speed computers read and write data to each other. The post is split into 6 parts, and although there's no way I can do justice to a post this long by trying to summarize it here, I can go through some of my top observations from the post:
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Google and Amazon!
These tech titans are a dream come true for every budding AI engineer.
Every fresh engineering graduate who has walked out of college dreams about working at Google or Amazon — “the perfect work environment.”
You thought AI is intelligent? Well, it has a long road ahead.
Without a doubt, artificial intelligence is one of the most revolutionary technologies being developed. Though, as powerful as it is, there still are a lot of basic problems it is yet to become competent to solve.
David Cox, Director of MIT-IBM Watson AI lab says, “It’s time to reinvent artificial intelligence.” And, according to him, neuro-symbolic AI is the answer.
We take a quick look into what ails present AI, and how AI engineers can revolutionize the discipline with neuro-symbolic AI.
Say, an AI program is asked to “Look at the picture below and tell if there are an equal number of large things and metal spheres?
It will be impossible for a state-of-the-art AI neural network program to answer this simple question.
Italy, a major country in the Europe, is expected to witness a loss of a whopping USD 173 billion in its GDP between 2018 and 2028 as a result of a huge scarcity of professionals in the continent with relevant skills in disruptive technologies. The skill-crisis is so bad in the Italy that it will miss out on a 0.6% increase in its GDP each year from now, till 2028. All of the Europe is facing a dearth of tech talent, especially disruptive technologies like artificial Intelligence, machine learning, and automation, among many others.
As a matter of fact, German companies spend a median six months filling a job position relating to intelligent technology. The dearth of AI skills across European Union is making them lag behind other continents that are prospering at a high rate in terms of economic growth attained through introduction of disruptive technologies in business sectors.
Europe Unable to Attract AI Talent It Needs
The scarcity of AI Engineers in the said continent a...
The developments will improve future artificial limbs and turn them into truly artificially intelligent limbs.