AlphaGo, which is an artificial intelligence program made by Google-owned DeepMind, has won against the world’s best-ranked human Go players since the past two years. Google’s Ai is now retiring from competitive Go.
Google’s AI Retiring From Alpha Go
After beating Ke Jie last week, who is the world champion in the board game called Go, Google’s AI now wants to help tackle some of the humanity’s most pressing and complex challenges in fields like health care and science, according to a blog post of Google-owned DeepMind. DeepMind wrote:
We have always believed in the potential for AI to help society discover new knowledge and benefit from it, and AlphaGo has given us an early glimpse that this may indeed be possible. The research team behind AlphaGo will now throw their energy into the next set of grand challenges, developing advanced general algorithms that could one day help scientists as they tackle some of our most complex problems, such as finding new cures for diseases, dramatically reducing energy consumption, or inventing revolutionary new materials.
AlphaGo debuted last year. It had performed outstandingly against top-ranked human Go players. This had made the public realize how AI can sometimes outperform human beings. During a series of matches that were held last year in Seoul, the AI program’s victory over Korean Go best player Lee Se-dol has shown the public that AI has many applications. Google is now planning to continue its efforts to use the main technology behind AlphaGo, which is a type of high-level machine learning names deep learning, to do difficult tasks in critical human sectors. Deep learning is based on the way a human brain works. It uses artificial neural networks, which are layers of interconnected nodes, which arrange themselves again when new information arrive, which allows computers to self-learn without any human programming. Google is already involved in efforts to use deep learning in the medicine field. It is training machines to study medical images and automatically notice pathological cues like swollen blood vessels. Researchers from Google’s medical imaging team have so far made great progress in creating an algorithm which reads retinal scan images to find out signs of diabetic retinopathy, which is the fastest growing reason behind preventable blindness, according to Google. Google is also making efforts to use deep learning for diagnosing cancer and making another deep learning algorithm to survey biopsy images to find metastatic breast cancers which have spread to the lymph nodes. It will take time before devices using Google’s deep learning algorithms are commercially used in the medical sector. It needs to gather enough clinical data to prove efficacy and accuracy before it can seek regulatory approval.
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If you are wondering what the fate of AlphaGo would be when it retires from the game, DeepMind says that a final academic paper will be published later this year that will detail the efficiency of the algorithm and the potential for general use. DeepMind said it will work with Ke Jie too to launch a teaching tool which shows AlphaGo’s analysis of Go positions. This will provide insights into how it thinks. This will let the public see the game via the eyes of AlphaGo. DeepMind has introduced a special set of AlphaGo vs. AlphaGo games too. AlphaGo learned to play this game by playing many games against itself so it has many interesting and new strategies and ideas.
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