Neuro AI is a new discipline, which aims to promote the development of AI technology by studying human brain, and use AI to better study human brain. One of the core tools of neural AI is to use artificial neural networks to create computer models of specific brain functions. This method began in 2014, when researchers at MIT and Columbia University found that deep artificial neural networks could explain the reaction process of the brain's object recognition region, the infratemporal cortex (IT). So they introduced a basic experimental method: comparing the artificial neural network with the brain. Then repeatedly and iteratively test various brain reaction processes: shape recognition, motion processing, speech processing, arm control, spatial memory, etc., and establish corresponding brain processing models for each reaction.

Machine vision technology aims to simulate and emulate the human visual system through algorithms and models that enable computers to "see" and understand information in images or videos.

The integration of deep learning with traditional industries in application has made AI an unprecedented explosion. But as Li Feifei, a professor at Stanford University, said, there is still a long way to go no matter in terms of intelligence, manpower or machine equipment.

We live in an age of intelligence. Many fields that seem to be exclusive to human beings are being continuously scoured, eroded and scoured by the tide of intellectualization, and painting is no exception.

Want to have a Monet style impressionist Thai temple painting, but can't afford to entrust the painter? Let artificial intelligence (AI) do the job. Then he changed his mind and wanted a surrealist painting? It's a piece of cake. Type the desired content in the message box of the AI art generator, and then press the button. Look, you've got your wish! Due to the rapid development of AI technology, today's digital world provides a large number of programs to generate high-quality visual arts under people's fingertips. Similarly, AI music generators are magic.

AI models have many definitions today. They can be a parallel universe containing the digital version of human beings and the world, or a three-dimensional network that replaces today's two-dimensional network, or a graphical interface for predictive analysis and product design cooperation.

Artificial intelligence, also known as machine learning, is a software system pioneered decades ago and based on neural networks.

Auto-GPT is an experimental open source application that demonstrates the capabilities of the GPT-4 language model.

The reason that AI can generate accurate answers without relying on traditional databases is because AI can perform applications in natural language processing, machine learning, knowledge graph technology, and semantic analysis techniques.

According to a recent survey conducted by automation software company UiPath, the majority of employees (about 60%) believe that AI-based automation solutions can reduce burnout and significantly improve job satisfaction.