NASA engineers are developing an artificial intelligence interface called ChatGPT, which is designed to allow astronauts to interact conversationally with AI in spacecraft, or for ground control centers to communicate with remote probe intelligent robots.

Geoffrey Hinton, one of the "deep learning triumvirate" and 2018 Turing Award winner, has revealed that he has left Google.

As we all know, artificial intelligence was first proposed in 1956. After 60 or 70 years of development, it has experienced a boom and then a decline. Although there is some progress in theory, there is no major breakthrough. All research is based on the modern computer prototype made by mathematician Turing in 1936. So there is still a big gap between AI and what we know.

What is AI? Artificial intelligence is a new technological science that researches and develops theories, methods, technologies and application systems used to simulate, extend and expand human intelligence. It is a process of cognition, decision-making and feedback. Artificial intelligence technology has become the most advanced technology in the field of science and technology. Many countries are competing to open up a new direction of this technology research and strive to seize the commanding heights in this field. What is the core problem of AI technology?

There is no denying that AI models like ChatGPT are becoming more and more powerful, but as their tentacles reach into all corners of human work, learning, and life, human existence and interests are being increasingly squeezed.

In fact, the term AI is not new to us. It is the key object of development in many fields, has penetrated into all aspects of our daily life, and the industries involved are numerous. Today, let's learn some knowledge about artificial intelligence.

Microsoft is developing an AI chip, codenamed "Athena," to power AI chatbots like ChatGPT.

AI can now code in any language without additional training.

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.

Researchers have developed an AI "decoder" that can decode the words that appear in a person's head by simply scanning brain activity with an instrument and passing it to a decoder for analysis