Artificial Intelligence _ The Future of AI
                     Artificial 
Intelligence : The 
Future of AI
Artificial Intelligence 
Artificial intelligence (AI) is wide-
ranging branch of computer science 
concerned with building smart 
machines capable of performing tasks 
that typically require human 
intelligence. AI is an inter
disciplinary science with multiple 
approaches, but advancements in 
machine learning are creating a 
paradigm shift in virtually every 
sector of the tech industry. 
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Applications of Artificial Intelligence
Marketing:Marketing is a Gaming:AI become an integral 
way to sugar coat your part of gaming industry. AI is one 
products to attract more of the biggest  solutions of 
customers. gaming industry.
Banking:AI in banking is Space Exploration:Space 
grow fast a lot of banks have expeditions and discovery of 
already adopted AI-based always require analysis vast 
systems  customer support. amounts of data.
Finance:Ventures have been is Social Media:Social media is 
relying on computers and data become our identity,AI is used for face 
scientists to determine future verification wherein machine learning 
patterns in the market. concepts used to detect facial 
features. 
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Future Scope of Artificial 
IAns mtaenyl lpiegopelen likcelye are drawn to the 
idea of AI, plenty of them looking for a 
potential career in the field of AI.
However, before you can do so, it’s 
always a good thing to analyze the future 
scope and career opportunities of AI.
Thus, there is a scope in developing the 
machines in speech recognition, robotics, 
language detection, expert systems, 
computer vision, and many more.
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Future of Artificial 
Intelligence
1.Reinforcement Learning: Reinforcement 
learning is an algorithm or programming that uses a 
system of reward and punishment to train. 
Reinforcement learning occurs when the machine uses 
data to evolve and learn.
 2.Automated Transportation:We’ve already 
heard, read and seen enough about self-driving cars. With 
tech like Tesla, Google, Uber and more self-driving cars, we 
have already witnessed the first step towards automated 
transportation. 
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3.Machines are Going to be as Smart as 
Humans:
Vincent C. Muller and Nick Bostrom, two researchers 
conducted a survey in 2014 to find out when do AI 
experts think that human-level AI or Artificial General 
Intelligence will arrive. Surprisingly enough, they found 
that there is a 50-50 chance that we will achieve human-
level AI by 2040.
4. Generative Adversarial 
Networks:Scientists and researchers regard GAN 
as an extension. A GAN is a network wherein two 
neural networks compete with one another and 
ability to capture, analyze, and copy the trends and 
variations with a dataset.
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