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Google’s DeepMind technology is Changing How a 3,000 year old game is played

Tuesday, 18 April 2017 / Published in Blog

Google’s DeepMind technology is Changing How a 3,000 year old game is played

A year after its victory over 18-time Go champion Lee Sedol, Google will once again show off its AI program, Alpha Go, by taking on competitors this May.  

 

Google’s DeepMind AI shocked the world last year when it won in a series of Go against 18-time world champion Lee Sedol. The historic win was the first of many future successes. Earlier this year, it defeated more that 50 players online. AlphaGo is a force to be reckoned with in the world of Go , but now Google is exploring how human players can learn from it.

 

The Future of Go Summit is a collaboration between the Chinese Go Association, the Chinese government and Google. It’s currently scheduled for May 23rd to May 27th, 2017. Aside from China’s top Go players, leading AI experts from both Google and China will also be in attendance.

 

“The summit will feature a variety of game formats involving AlphaGo and top Chinese players, specifically designed to explore the mysteries of the game together,” Google said in a blog post.

 

The idea is to test how AlphaGo can work in tandem with human players.

 

Artificial intelligence and Machine learning are advancing and not just in the realm of games and doodles. Google’s DeepMind is a prime example of that. Aside from dominating at Go, DeepMind has shown that’s possible for AI to have a memory from which it can learn from. The AI has also outperformed human lip readers and even contributed to medical research.

 

Google’s Artificial Intelligence

 

Today, we’re seeing artificial intelligence that can complete tasks that were previously exclusive to humans. Writing stories, creating films, composing music and even conducting behavioural analysis are all possible. The exponential growth of AI is due, for the most part, to rapid developments in machine learning and neural network systems. In short, neural network systems are loosely based on biological brain axons. Each neural unit computes using summation functions. These systems are self-learning and “trained” as opposed to traditional computers that are programmed.

 

 

At Google Next, various keynotes, including Google CEO Sundar Pichai and Google’s Chief of AI and Machine Learning Scientist Dr. Fei Fei Li, made their company mission for this year very clear. This will be the year of machine learning and artificial intelligence.

 

 

Google often publishes AI experiments to show what their tech can do. One of the 10 experiments was posted to Quick, Draw! The widget prompts users to draw a specific thing, like a seesaw, in under 20 seconds. While the user draws, the computer tries to figure out what that user is drawing. They use the doodles form Quick, Draw! to teach the AI how to draw on its own.

 

 

This is just the tip of the proverbial AI and machine learning iceberg.

 

 

 

 

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