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.

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.

The world is now focused on the impact of generative AI tools on the knowledge and creative economy. Schools are the centers of knowledge and creative work, and are therefore likely to be the first places where the general public will see tangible changes.

Many people are worried that the rapid development of AI will cost them their jobs, and to a certain extent this is true, but AI is not a panacea and it has its limitations.

AI is providing unprecedented insights and helping to improve the efficiency of many business processes. Whether you are a freelancer working in a single-person business or responsible for multiple employees, there are many tools available to improve your operations.

IDC predicts that spending on AI technologies will increase to $97.9 billion by 2023 - more than 2.5 times the 2019 spending level.