Artificial Intelligence
Throughout the last century, AI has moved out of the domain of science fiction and into the real world . There is a lot of hype and there is a lot happening as well. It is important to understand what AI is and is not.
The constant development of machines to perform tasks that would require the assistance of Human Intelligence is called AI. Believe it or not, AI applications are more common in our day to day lives than most people realize.
It will free us time. It will give us new things to do. It will expand our capabilities. What happened when we freed ourselves from the burden to farm everyday? To free up humanity from the burden of repetitive work
What jobs will it replace? What jobs will it create? How do you educate people so they can most thrive in a chaotic world that AI is going to bring us?
What we can do with AI is still nothing compared to what humans can do with their brain. But the hope is that one day we'll get there
AI is generating ethical dilemmas
Google's AlphaGo
Gameplay has long been a chosen method for demonstrating the abilities of thinking machines. Go is an ancient, aristocratic Chinese board game that’s reputed to have as many possible moves as there are atoms in the universe. And Google recently trained an artificial intelligence computer to play against one of the best human players in the world. At Google’s Future of Go Summit, 19-year-old Chinese Go prodigy Ke Jie was defeated by the AI AlphaGo in a three-match series. AI evangelists are happy with the win, but AI doomsayers are worried it’s coming for our jobs next. And China is just mad that an American company beat the world at a Chinese game.
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DIY Robocars
Its not stuff that only Tesla and Waymo are working on, a bunch of hobbyist are doing it themselves. A lot of code is in the open source. You now have the ability to do things that were PhD thesis until just a few years ago. You can go to the cloud and do supercomputer work for free.
A cool game of making connections
Artificial Intelligence is about making connections. Knowing what a connection is within a network is very important to understand the concept of AI
After enough examples the computer forms in its own brain - 'rules'. It can't even explain the 'rules'. But these rules make the computer as competent as people are.
A new way of looking at any problem is ..How can you capture enough data so that a machine can figure out what's going on?
The faster we can make the training process - the more progress we can make in AI
Machine Learning: Living in the Age of AI
The film examines the extraordinary ways in which people are interacting with AI today. Hobbyists and teenagers are now developing tech, powered by machine learning. The film shows the impacts of AI on school children, farmers and senior citizens, as well as looking at the implications that rapidly accelerating technology can have.
India’s own AI Strategy identifies AI as an opportunity and solution provider for inclusive economic growth and social development. The report also identifies the importance of skills-based education ( as opposed to knowledge intensive education), and the value of project related work in order to “effectively harness the potential of AI in a sustainable manner” and to make India’s next generation ‘AI ready’
Intelligent behavior is the capability of using one’s knowledge about the world to make decisions in novel situations: people act intelligently if the use what they know to get what they want. The premise of AI research is that this type of intelligence is fundamentally computational in nature, and that we can therefore find ways to replicate it in machines
In Locke's philosophy, tabula rasa was the theory that at birth the (human) mind is a "blank slate" without rules for processing data, and that data is added and rules for processing are formed solely by one's sensory experiences. One of the most promising ideas in AI today is that of Reinforcement Learning, a system in which the artificial ‘learner’ interacts directly with its environment, receiving rewards for actions that have favorable outcomes, and progressing in skill over many training ‘episodes’.
Over the past decades, we have seen impressive applications of Reinforcement Learning in games such as Chess and Go: in 1997, IBM’s Deep Blue beat Chess master Gary Kaparov, and in 2016, Deepmind’s AlphaGo beat the world’s top Go player Lee Sedol.
In 1950, AI pioneer Alan Turing proposed what we today call the Turing test: an AI system can be considered truly intelligent if it is able to verbally convince a human judge that it is a person. This is what the chatbot ‘Eugene Goostman’ achieved in 2014: it convinced a third of the judges in that year’s Turing competition that it is in fact a 13-year-old boy from Ukraine. Here is an excerpt of his conversation with the human judge Scott: