Day 33 – Q 2.How is artificial intelligence making lives easier? Illustrate.

2. How is artificial intelligence making lives easier? Illustrate. 

कृत्रिम बुद्धिमत्ता कैसे जीवन को आसान बना रही है? उदाहरण देकर स्पष्ट करें।

Introduction:

Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. 

Body:

Artificial intelligence is making human lives easier and better in following ways:

Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing. Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data.

AI applications:

• AI automates repetitive learning and discovery through data. But AI is different from hardware-driven, robotic automation. Instead of automating manual tasks, AI performs frequent, high-volume, computerized tasks reliably and without fatigue.
• AI adds intelligence to existing products. In most cases, AI will not be sold as an individual application. Rather, products you already use will be improved with AI capabilities, much like Siri was added as a feature to a new generation of Apple products.
• AI adapts through progressive learning algorithms to let the data do the programming. AI finds structure and regularities in data so that the algorithm acquires a skill: The algorithm becomes a classifier or a predicator.
• AI achieves incredible accuracy though deep neural networks – which was previously impossible. For example, your interactions with Alexa, Google Search and Google Photos are all based on deep learning – and they keep getting more accurate the more we use them.
• AI gets the most out of data. When algorithms are self-learning, the data itself can become intellectual property. The answers are in the data; you just have to apply AI to get them out.
• Health Care: AI applications can provide personalized medicine and X-ray readings. Personal health care assistants can act as life coaches, reminding you to take your pills, exercise or eat healthier.
• Manufacturing: AI can analyze factory IoT data as it streams from connected equipment to forecast expected load and demand using recurrent networks, a specific type of deep learning network used with sequence data.

Issues with Artificial Intelligence:

• There is a lot of uncertainty about the kind of AI we may one day reach that would achieve human-level intelligence or possibly more.
• In the near term AI serves as a tool that can magnify the amount of power an individual has. For example, someone could buy thousands of cheap drones, attach a gun to each of them, and develop AI software to send them around shooting people. If the software was good enough this could result in far more destruction than a normal terrorist attack.
• In the short term, there is a threat being posed too many job markets in the form of automation, and for many automation problems.
• Gap between developed and developing countries to increase-due to skill difference.

Conclusion:

The power of artificial intelligence that unintentionally causes destruction and damage cannot be ignored. What will help us control it better is research and in-depth study of the importance of artificial intelligence. Research alone can control the potentially harmful consequences of AI and help us enjoy the fruit of this innovation.