Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... ...Full Bio
Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc...
Data science is the big draw in business schools
1044 days ago
7 Effective Methods for Fitting a Liner
1054 days ago
3 Thoughts on Why Deep Learning Works So Well
1054 days ago
3 million at risk from the rise of robots
1054 days ago
Top 10 Hot Artificial Intelligence (AI) Technologies
Google's AlphaGo Proves Its Mettle Against a Team of Five
In yet another historic match up, Google DeepMind's AlphoGo defeated a team made up of five of the world's best human professional Go players. The team of five, however, enjoyed observing and adapting to AlphaGo's moves.
Google's Go-playing artificial intelligence (AI) continues its winning streak at this week's Future of Go Summit, happening in the historic town of Wuzhen, China. The AI ,developed by Google's DeepMind, beat a team made up of five of the best human Go players in the world, proving that it can go head-to-head with not one, but multiple professional players.
Teams were matched for demo games at Google's event on Friday. The first match of the day paired AlphaGo with a human player. Two human/AlphaGo teams battled it out, with one pair forcing the other into forfeiting the match. Who said AI can't work together with humans?
Prior to today's matches, AlphaGo also dueled with the world's top Go player Ke Jie for a second time. But, just like Tuesday's first match, Google's AI proved to be a better match than humanity's best Go player. A third and final match occurred on Saturday.
Instead of seeing human players under stress in a traditional all-human match, commentators noticed that the professional players rather enjoyed observing and studying AlphaGo's moves. Without that human competition element, the human players acted differently, some even learned to adapt their play style to follow AlphaGo's moves.
This, essentially, is the spirit of the Future of Go Summit. Google and the Chinese Go Association, working with the Chinese government, organized the event precisely to see, learn, and adapt to how an AI Go player changes the way a 3,000-year old game is played. As Google's Eric Schmidt said in a tweet, working with AlphaGo "speaks volumes about where AI is headed."
Apart from the professional Go players, the summit is also attended by a number of AI experts keen on learning about the problem-solving potential of this AI - this basis in problem-solving is what playing Go is really about. At the very least, seeing how AI can work hand-in-hand with human beings is promising and informative, at least as far as playing Go is concerned. Read More