Over the years, the use of the use has suddenly increased artificial intelligence (AI) It should be in someone’s professional or personal life. However, Infosys founder Narayan Murthy recently talked about the growing AI trend in India and warned people against it, calling it a “silly old program”.
The idol was speaking on 11 March (Tuesday) at Tie Con Mumbai 2025. Sharing his expertise, Murthy said that he is calling a lot of “simple” programs AI as it has become a “fashion” these days. “I think it has become a fashion for everything in India to talk about AI. I have seen many common general common programs as AI, ”Murthy said according to the report.
Murthy also explained the basic principles of A. machine learning And deep education- and their capacity. “AI has two fundamental principles. One, machine learning, which is a large -scale correlation. Therefore, it helps you predict, based on large amounts of data. This simple machine is to learn, “he said.
He further said, “The second is the one called deep learning. Deep education Mimics how the human brain works. “Talking about its relevance in today’s world, Murthy shared that deep learning has the ability to handle” uncontrolled algorithms “, and it can be used to create new programs.
“So unheard data, which uses deep learning and nerve network, has a lot of ability to do things that better mimics human behavior. But what I am seeing is being called AI, it is foolish, old programs, ”said Murthy.
Talking about whether AI can replace jobs in the near future, Murthy said that technological advancement often ends some jobs, while creating new opportunities. “In each technique, some jobs will be abolished, but if used in aided manner, we can increase the economy. For example, if you use it in autonomous vehicles for transportation, hospital care, it will expand and employment of those companies, ”he said.
3 professionals of AI
1. Efficiency and Automation: AI can demonstrate repetitive and time -consuming tasks with rapid and more accuracy than humans, improving productivity in various industries such as healthcare, finance and manufacturing.
2. Data processing and analysis: AI can analyze large amounts of data in real time, providing valuable insight that helps businesses and researchers to make informed decisions.
3. Personalization and convenience: AI-Interested Applications, such as recommendations algorithms and virtual assistants, increase user experiences by sewing the content and automating everyday tasks.
3 opposition of AI
1. Job Displacement: AI-operated automation can change human workers, causing job loss in industries that greatly rely on regular tasks.
2. Prejudices and Ethical concerns: AI models can achieve prejudice from their training data, which can lead to improper or discriminatory consequences, especially in working, law enforcement and lending decisions.
3. Safety and privacy risk: AI technologies can be exploited for cyber attacks, deepfec and monitoring, data raids for privacy and moral misuse.
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