AlphaGo, a computer program that defeated Ke in London's Yin Zhi Tournament, will now take on the top Go players in a second match. The AI program has been specially trained to imitate Ke's strategy. AlphaGo is expected out to be far more successful than human opponents in this match. Founder Demis Hassabis says the competition is a true test of artificial intelligence.
Yin Zhi in Chinese is the Chinese name of go
Ai go, or Yin Zhi in Chinese, is a very popular game that computer programmers play. The Chinese name of the game is pronounced as "gee", but it can be pronounced with an alternate sound, the -i sound. The Chinese pronunciation is the same as that of si, zi, and ci vowels such as "jerk", and "zhrrrrrrrrrrrrrrrrrrrrrrrrrrrrrr".
It's an excellent information game
A perfect information-game is one where both players know all actions and can move to the next point. This is because both players know the winning strategy and move to the next node. Backward induction is not applicable. This distinction is crucial because a perfect game of information is non-abstract. A perfect information game is a highly complex and mathematically complex type of game, but it is considered a benchmark for future game solving.
It is a challenge for artificial intelligence
One of the major challenges in AI is identifying the situations where it is not easy to make the best decision. Some examples include autonomous vehicles that are not able to avoid crashing into walls and movie recommendation systems that ignore parental restrictions. Some cases are more complicated. Humans are required to monitor the system and give regular training to avoid making mistakes. In such a case, explainability of AI decisions is vital to ensure transparency.
It beat a human master
AlphaGo, an AI program for artificial intelligence, won its recent victory. This proves that computers can do complex tasks better then human players. This feat highlights the potential for new brain-like technologies. Ai go beat a human master comes at a time when researchers and scientists are investigating how machines can do things like draft legal documents and drive cars. This development has some serious thinkers wondering if AI systems will soon replace human workers.
It is being developed by Google's DeepMind
AI Go is being developed by Google's research team. The team fed 30 million human Go moves into a network of hardware and software, which mimics the web of neurons in a human brain. Neural networks are already used for other purposes, such as tagging faces in pictures and recognizing commands spoken into Android phones. As the neural networks learn to recognize speech patterns and faces, they can also learn how the game of Go is played.
FAQ
What is AI and why is it important?
It is expected that there will be billions of connected devices within the next 30 years. These devices will cover everything from fridges to cars. Internet of Things (IoT), which is the result of the interaction of billions of devices and internet, is what it all looks like. IoT devices will communicate with each other and share information. They will also make decisions for themselves. A fridge may decide to order more milk depending on past consumption patterns.
It is predicted that by 2025 there will be 50 billion IoT devices. This is an enormous opportunity for businesses. However, it also raises many concerns about security and privacy.
How does AI work
An artificial neural network is composed of simple processors known as neurons. Each neuron receives inputs form other neurons and uses mathematical operations to interpret them.
Neurons are organized in layers. Each layer performs a different function. The first layer receives raw information like images and sounds. It then sends these data to the next layers, which process them further. Finally, the last layer produces an output.
Each neuron also has a weighting number. This value is multiplied with new inputs and added to the total weighted sum of all prior values. If the result is more than zero, the neuron fires. It sends a signal down the line telling the next neuron what to do.
This process repeats until the end of the network, where the final results are produced.
Who was the first to create AI?
Alan Turing
Turing was born in 1912. His mother was a nurse and his father was a minister. After being rejected by Cambridge University, he was a brilliant student of mathematics. However, he became depressed. He began playing chess, and won many tournaments. He returned to Britain in 1945 and worked at Bletchley Park's secret code-breaking centre Bletchley Park. Here he discovered German codes.
He died in 1954.
John McCarthy
McCarthy was born on January 28, 1928. Before joining MIT, he studied maths at Princeton University. He developed the LISP programming language. He was credited with creating the foundations for modern AI in 1957.
He passed away in 2011.
Statistics
- More than 70 percent of users claim they book trips on their phones, review travel tips, and research local landmarks and restaurants. (builtin.com)
- A 2021 Pew Research survey revealed that 37 percent of respondents who are more concerned than excited about AI had concerns including job loss, privacy, and AI's potential to “surpass human skills.” (builtin.com)
- By using BrainBox AI, commercial buildings can reduce total energy costs by 25% and improves occupant comfort by 60%. (analyticsinsight.net)
- While all of it is still what seems like a far way off, the future of this technology presents a Catch-22, able to solve the world's problems and likely to power all the A.I. systems on earth, but also incredibly dangerous in the wrong hands. (forbes.com)
- In 2019, AI adoption among large companies increased by 47% compared to 2018, according to the latest Artificial IntelligenceIndex report. (marsner.com)
External Links
How To
How do I start using AI?
A way to make artificial intelligence work is to create an algorithm that learns through its mistakes. You can then use this learning to improve on future decisions.
If you want to add a feature where it suggests words that will complete a sentence, this could be done, for instance, when you write a text message. It would use past messages to recommend similar phrases so you can choose.
It would be necessary to train the system before it can write anything.
Chatbots are also available to answer questions. So, for example, you might want to know "What time is my flight?" The bot will respond, "The next one departs at 8 AM."
Take a look at this guide to learn how to start machine learning.