Facts About Artificial Intelligence
Artificial Intelligence is embodiment of super human brain into computers. Artificial intelligence sector is going to boom exponentially in next coming decade. In the present scenario, most of the industries have started relying on using the principles of Artificial Intelligence, in their production tasks, or software services. Artificial intelligence gives a systemic and a robotic touch to our day to day activities.
The ability to interact with environment in a smart and an intelligent way is all what Artificial Intelligence revolves around. A technological touch to every human activity is defined by artificial intelligence. AI can also learn, understand and adapt to its surrounding. Human tasks have been reduced due to the application of artificial intelligence in each and every field.
Key features of Artificial Intelligence:
1. Organized Data Management
2. Personalization
3. Prediction of the Future
4. Reduction in Human Based Task Errors
5. Real Time Assistance
6. Data Mining
The use of computers for logical reasoning, pattern recognition, learning and other type of inference is one the prime motive behind Artificial Intelligence. Problems which are not solved by traditional way , then a heuristic approach is made through the use of artificial intelligence.
It holds some specific characteristics, as listed below:
1. Adaptability to new environment or even if new changes in the environment.
2. Acquire the necessary knowledge whenever needed.
3. Reasoning along with abstract thinking.
4. Great comprehensive skills.
5. Conclude a judgement or make a decision.
6. Capacity for original and constructive thought .
Working Principle of Artificial Intelligence:
Artificial intelligence is based on certain set of basic principles, which enable it to accomplish the magical tasks it does in each industry where it is applied. Cutting-edge technologies that allow computer systems to understand the meaning of human language, learn from experience, and make predictions, according to the situations.
Basic concepts behind AI:
1. Machine learning
2. Deep learning
3. Neural network
4. Cognitive computing
5. Natural language Processing
6. Computer Vision
Machine Learning
Machine learning is a wide application of AI, that provides computer systems to learn from past experiences without providing prior code. The formulated algorithms are made in such a way that they deduce precise predictions of any activity. It includes analyzing of data and predicting solutions based on that. Even while shopping things online, AI is way smart enough to guess your next desired product.
What kind of Netflix movies you might watch next, or the best route for your Ola or Uber ride , machine learning is being applied to healthcare, pharma, and life sciences industries to help diagnose disease , medical image interpretation, and excel the drug development process. Many such activities are being channelized through step by step process.
Deep learning
Deep learning is a process wherein it employs artificial neural networks that learn by processing data. It is a subset of machine learning. It is similar to replicating human neural network.
Many signals of artificial neural network work simultaneously to generate a single resultant output from many inputs.
Multiple layers of artificial neural networks work together to determine a single output from many inputs, for example, identifying the image of a face from a mosaic of tiles. The machines learn through positive and negative reinforcement of the tasks they carry out, which requires constant processing and reinforcement to progress.
Another application of deep learning is speech identification, which enables the voice assistant in phones to understand questions like, “Hey Siri, what is the temperature of Mumbai?”
Neural network
Neural network is very much similar to a human brain and neural connections in that. Neural networks learn by processing training examples. The best examples come in the form of large data sets, like, say, a set of 100 chairs images. By processing these many images (inputs) the machine is able to identify at a single go, displaying the answering to the question, “Is the image of a chair or not?” By repetitive displaying the same kind of data, the system understands
The process of mapping the data from list A to list B is being easily performed by AI. This process analyzes data many times to find associations and give meaning to previously undefined data. Through different learning models, like positive reinforcement, the machine is taught it has successfully identified the object.
Cognitive computing
When a computer system is trained to think in a human way, that’s when cognitive computing comes into picture. Cognitive computing gives a new dimension to the applications in the subject of reasoning and understanding of a situation and deriving to a desired solution. Its main aim is to improve the communication between humans and machines. Human like thought process is instilled in computer system.
Together, cognitive computing and artificial intelligence strive to endow machines with human-like behaviors and information processing abilities.
Natural Language Processing:
NLP gives the power to software application , computer or machine to understand, interpret and create human text. These are also called chatbots. NLP is the AI behind digital assistants such as siri and alexa and google assistance. It also detects mood ,sentiments, attitude and subjective qualities in a language. The device uses Natural language processing to process human language and perform tasks such as manage your schedule, control your smart home, make a reservation at a hotel or train or bus.
Future of AI:
1. As of now , we only have basic hands on artificial intelligence, but researchers are working day and night over exploring deep concepts of AI thereby making it stronger for the future generations.
2. Researchers have been shedding their precious energy in utilizing neural networks to add an enhancing feature to the AI.
3. Speech recognition will be taken to all new level with advancements in artificial intelligence. One day a human voice will be replicated through AI.
4. Microphone and sound systems will be made more adaptable to the changing surrounding background noise, different environment with better recognition.
5. Data entry will be made easy with speech recognition, as faster processors will be invented holding more memory power.
6. Self driving cars are one the beneficial after effects of Artificial Intelligence.
7. Much of scope of improvements in medical care and treatments.
Each day AI experiences new changes in the technology and principles used behind it. One needs to stay updated with the current versions being released on day to day basis.
Hope you enjoyed reading an interesting blog on Artificial Intelligence!
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