Artificial intelligence (AI), is able to solve the Tic Tac Toe puzzle. This game involves matching up nine-element vertices with aternary numbers. This ternary numbers can be converted to decimal numbers and used in an index for a large Move-Table. However, large Move-Tables require a lot more memory space. So, how does AI solve the puzzle?
Minimax
Minimax, an algorithm used to evaluate moves by AIs when they play the game. This algorithm evaluates moves until it determines a terminal condition. Minimax will only play moves with the highest scores. If a human is playing, Minimax will select the moves with the lowest scores. To make the best possible decision, the algorithm takes into account the utility of each move.
Alpha-beta pruning
In order to reduce redundant nodes, AI algorithms often use Alpha-beta pruning. In this scheme the algorithm starts at node A and changes alpha up to its maximum, then returns that value back to node C. After that, the algorithm transfers beta to nodes C and F. This ensures that the algorithm doesn’t compute the entire subtree G.
Tree-based search algorithm
Tree-based search algorithms are an optimization method that traverses a tree or graph. It starts at a root node and grows along every branch until it finds the solution. This algorithm can also work in a stack. This search algorithm may prove to be efficient in solving a problem. However it requires domain knowledge.
Minimax with alpha-beta pruning
Alpha-beta pruning can be used to reduce computations in the minmax search algorithm. This method assigns heuristics to nodes at a ply level, and propagates them upwards. In this algorithm, the alpha value is assigned to the MAX node and never decreases, while the beta value is associated with the MIN node. This method ensures that the machine does not lose more players than it gains.
Alpha-beta pruning for tree-based search algorithm
Alpha-beta pruning uses a tree-based search algorithm. It's a set of rules which govern the computation of each value for each node, beginning with the value beta at the root. After that, the search algorithm returns to node A, changes the value alpha at node B, and removes the node that is not alpha. This method can be used to solve many other problems, such as problem-solving in machine learning.
Stochastic element
Modelling river flow can be used to transfer stochastic behavior to artificial Intelligence. This could help decision makers to adopt flood control measures, or reduce the damage caused by natural disasters. Researchers have compared three artificial-intelligence models and two stochastic models based on daily data, which was collected from 2001 to 2015. Researchers also examined the river's water quality in terms of hydrological drought annually. The AI models showed better results.
FAQ
How does AI affect the workplace?
It will change how we work. It will allow us to automate repetitive tasks and allow employees to concentrate on higher-value activities.
It will improve customer services and enable businesses to deliver better products.
It will help us predict future trends and potential opportunities.
It will give organizations a competitive edge over their competition.
Companies that fail AI adoption will be left behind.
What are some examples of AI applications?
AI is being used in many different areas, such as finance, healthcare management, manufacturing and transportation. Here are just some examples:
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Finance - AI can already detect fraud in banks. AI can scan millions upon millions of transactions per day to flag suspicious activity.
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Healthcare – AI is used for diagnosing diseases, spotting cancerous cells, as well as recommending treatments.
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Manufacturing - AI is used to increase efficiency in factories and reduce costs.
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Transportation - Self-driving cars have been tested successfully in California. They are currently being tested around the globe.
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Utilities can use AI to monitor electricity usage patterns.
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Education - AI is being used for educational purposes. Students can, for example, interact with robots using their smartphones.
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Government - Artificial Intelligence is used by governments to track criminals and terrorists as well as missing persons.
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Law Enforcement - AI is used in police investigations. The databases can contain thousands of hours' worth of CCTV footage that detectives can search.
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Defense - AI can both be used offensively and defensively. Artificial intelligence systems can be used to hack enemy computers. Artificial intelligence can also be used defensively to protect military bases from cyberattacks.
What's the future for AI?
Artificial intelligence (AI) is not about creating machines that are more intelligent than we, but rather learning from our mistakes and improving over time.
This means that machines need to learn how to learn.
This would allow for the development of algorithms that can teach one another by example.
It is also possible to create our own learning algorithms.
The most important thing here is ensuring they're flexible enough to adapt to any situation.
How does AI work
An artificial neural system is composed of many simple processors, called neurons. Each neuron processes inputs from others neurons using mathematical operations.
Neurons are organized in layers. Each layer has its own function. The first layer gets raw data such as images, sounds, etc. These are then passed on to the next layer which further processes them. The last layer finally produces an output.
Each neuron is assigned a weighting value. This value is multiplied each time new input arrives to add it to the weighted total of all previous values. If the result exceeds zero, the neuron will activate. It sends a signal to the next neuron telling them what to do.
This is repeated until the network ends. The final results will be obtained.
Statistics
- In 2019, AI adoption among large companies increased by 47% compared to 2018, according to the latest Artificial IntelligenceIndex report. (marsner.com)
- In the first half of 2017, the company discovered and banned 300,000 terrorist-linked accounts, 95 percent of which were found by non-human, artificially intelligent machines. (builtin.com)
- 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)
- By using BrainBox AI, commercial buildings can reduce total energy costs by 25% and improves occupant comfort by 60%. (analyticsinsight.net)
- Additionally, keeping in mind the current crisis, the AI is designed in a manner where it reduces the carbon footprint by 20-40%. (analyticsinsight.net)
External Links
How To
How to set Alexa up to speak when charging
Alexa is Amazon's virtual assistant. She can answer your questions, provide information and play music. And it can even hear you while you sleep -- all without having to pick up your phone!
With Alexa, you can ask her anything -- just say "Alexa" followed by a question. With simple spoken responses, Alexa will reply in real-time. Plus, Alexa will learn over time and become smarter, so you can ask her new questions and get different answers every time.
You can also control lights, thermostats or locks from other connected devices.
You can also tell Alexa to turn off the lights, adjust the temperature, check the game score, order a pizza, or even play your favorite song.
Alexa to Call While Charging
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Open Alexa App. Tap Settings.
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Tap Advanced settings.
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Choose Speech Recognition
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Select Yes, always listen.
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Select Yes, only the wake word
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Select Yes, then use a mic.
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Select No, do not use a mic.
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Step 2. Set Up Your Voice Profile.
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Add a description to your voice profile.
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Step 3. Step 3.
Use the command "Alexa" to get started.
For example: "Alexa, good morning."
Alexa will reply to your request if you understand it. For example, "Good morning John Smith."
Alexa won’t respond if she does not understand your request.
After these modifications are made, you can restart the device if required.
Notice: You may have to restart your device if you make changes in the speech recognition language.