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Artificial Intelligence
Contents
Introduction    2
Description    2
Why is AI required?    3
Strengths    3
Weaknesses    4
How is AI used by Businesses?    5
Ethical Issues    5
Conclusion    6
References    6
Introduction
Artificial intelligence is a means to perform human-like operations through the use of machines. The machines can learn from experience using this technique. Computers can be trained to achieve particular tasks by processing and analyzing lots of data and recognizing patterns in it. AI has the capability to transform the world. It has led to numerous innovations such as connected Internet of things, autonomous vehicles and the like. AI can even contribute to help humans to experience feelings by connecting to the brain through complex brain interfaces. Commerce, transportation, cybersecurity and healthcare are a few of the systems revolutionized by AI. Security and explanation of AI systems can be measured and enhanced by fundamental research. Standards have been developed to ensure innovation, trust-worthiness and confidence in AI systems.
This report focuses on the importance of Artificial Intelligence in today’s scenario, how it works on large amounts of data, its advantages and disadvantages, how various businesses use artificial intelligence and the ethical issues that the technology faces.
Description
AI combines big data with intelligent algorithms and iterative processing to learn from patterns within the data automatically. AI thrives on data as discussed in conference proceedings of (Bernhard Phringer, 2015). Using advanced algorithms, the data can be analyzed efficiently at various levels. The answer to the problem question lies within the data and can be resolved by applying AI to the data. This can be achieved by implementing self-learning progressive algorithms on the data and this can lead to making the data intellectual property. Such intelligent processing through AI helps humans to understand complicated systems and predict rare events. AI involves numerous fields within its vast expanse of technology as mentioned below
· Neural Networks- The interconnected units called neurons process data by relaying information between the units and responding to external inputs. They derive meaningful information from undefined data using multiple passes at the data. These networks may be trained using compute power. Connected devices generate huge data which remains unanalyzed and can be used better by automating models through AI.
· Natural Language Processing- It allows machines to communicate with humans with natural language used by humans to carry out everyday activities. This requires analysis and understanding of human speech in order to generate response in human language.
· Cognitive Computing- This field focuses on simulating human processes by interpreting speech and images and providing coherent response like a natural human interaction.
· Machine Learning- This field facilitates automated analytical model building using different techniques from physics, statistics and neural networks
· Deep Learning- Applications like Speech and image recognition use large neural networks having many processing units to learn complex patterns in data with the help of training techniques and better computing power. The key units are graphical processing units which provide heavy compute power.
Why is AI...