Factors that have pushed the development of artificial intelligence. Statistics of its implementation:
The emergence of social networks and other platforms in the information field, where AI began to more actively teach itself.
The emergence of powerful technology that made it possible to process incredible amounts of data with high speed and quality.
New approaches have emerged that are becoming support for AI. These include deep and machine learning, neural networks.
Researchers at the Neural Information Processing Systems (NIPS) conference, which took place on December 4, 2012, talked about convolutional neural networks and won fantuan data package the ImageNet classification, which pertained to images. What does this mean? For example, we understand that this furry and fluffy creature with big ears and a wet nose is definitely a dog. And the neural network does the same thing, seeing the image and analyzing the structure of the pixels. Thanks to this system, it was possible to understand what was depicted with 85% accuracy, and this is only 10% worse than the result of a person.
Neural Information Processing Systems (NIPS) Conference
In 2014, ImageNet surpassed humans in recognition accuracy and reached 96%. The technology was implemented for voice recognition, in driverless cars, in computer games, and for financial analytics.
There have been more breakthroughs in artificial intelligence in the last 10 years than in its entire history. For example:
Two former Jeopardy! champions lost to Watson (IBM's question-and-answer system) in the quiz show in 2011.
In the same year, 2011, a chatbot that could talk managed to fool judges in the Turing test by pretending to be human.
In 2011, Apple introduced Siri to the world, which, with the help of natural language processing, can speak, reason, and answer questions. This became possible with the help of NLP technology.
Five years later, in 2016, the first robot capable of speaking, based on artificial intelligence, and even changing facial expressions was created. It was named Sophia.
Then, a year later, in 2017, Mark Zuckerberg's company created two chatbots so that they could communicate with each other. Thanks to such an interlocutor, they were able to improve their knowledge, improve, and eventually they came to create their own language.
2023 has been heralded as the year of GAN, the year of progress in generative networks. They can create photos and videos, and ChatGPT can write a poem, song, essay, or story.
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Alexander Kuleshov
Alexander Kuleshov
General Director of Sales Generator LLC
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