Artificial Intelligence (Ai) Powerpoint Term Pres

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artificial Intelligence Term Paper

Economy & Finance Technology

Artificial Intelligence (A.I.) By Nick Seckar

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In the last couple of years, deep learning techniques have transformed the world of artificial intelligence. One by one, the abilities and techniques that humans once imagined were uniquely our own have begun to fall to the onslaught of ever more powerful machines. Deep neural networks are now better than humans at tasks such as face recognition and object recognition. They’ve mastered the ancient game of Go and thrashed the best human players. “The pace of progress in artificial general intelligence is incredible fast” (Elon Musk – CEO Tesla & SpaceX) leading to an AI that “would be either the best or the worst thing ever to happen to humanity” (Stephen Hawking – Physicist). What sparked this new hype? How is Deep Learning different from previous approaches? Let’s look behind the curtain and unravel the reality. This talk will introduce the core concept of deep learning, explore why Sundar Pichai (CEO Google) recently announced that “machine learning is a core transformative way by which Google is rethinking everything they are doing” and explain why “deep learning is probably one of the most exciting things that is happening in the computer industry“ (Jen-Hsun Huang – CEO NVIDIA).

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Artificial Intelligence is a term that refers to the creation of computer systems with the ability to think and act intelligently. Many believe that with the advancement of technology, artificial intelligence is quickly becoming a reality. In this sense, the future is already here- and it’s just as terrifying as we thought it would be. In 1943, Alan Turing published a paper titled On Computing Machinery, later referred to as the Turing Test. In this paper, Turing proposed that a computer could be considered to be as intelligent as a human being if it could pass a test designed to simulate common human behaviors. When testing a computer’s intelligence, many consider self-awareness to be an important factor. Essentially, a system must be able to recognize its own emotions and behaviors and respond to them appropriately. Definition Of Artificial Intelligence AI is commonly defined as a branch of study that focuses on building intelligent machines. However, there is no standard definition of AI. Therefore, there are many different approaches to creating intelligent machines. Some consider artificial intelligence to be an extension of human cognition; others believe that it’s an entirely new type of intelligence. Some consider artificial intelligence to be a threat while others believe it can help mankind advance in many ways. Use Of Aritificial Inteligence AI has been developed and applied in many different areas- including military, medical, and entertainment systems. The field of AI is rapidly growing in both popularity and complexity. Thanks to technological advancement, we no longer need to manually control complex machines with laborious human operators. Instead, we can program our robotic controls with advanced algorithms using artificial intelligence. We can also train our AI systems using machine learning so that they become more effective over time.

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Ethics within the Code: The Machine, the Other & Robotic Ethics Artificial Intelligence (AI) has been a hot subject in the news over the last few years. Perusing the national and international headlines of today offers a scary and frightening picture of what may be coming as well as an opportunity to not work, cleanup, or do anything since robots and machines will manage our lives. The Huffington Post describes the advancement of “Nanobots in our brains will make us God-like.” The Guardian has warned the UN that the delays on “killer robots” bans on autonomous weapons will leave the door open for future robot wars. Elon Musk, Bill Gates, and a host of other tech luminaries and academics have called AI the greatest threat to the future of the planet.

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