The key to staying ahead of the curve in the ever-changing business environment for individuals and organizations is to manage time well to ensure that they are always on top of cutting-edge core technologies and integrate them into their work and business development.

Intel is committed to making generative AI pervasive and accessible to a wide range of industries, as well as the average consumer.

The situation quickly changed with the rapid advancement of AI technology, and a few months later, AI has become a key point in the strike negotiations conducted by the American Writers Union.

While the threat theory that AI will take over human jobs rages on, there's one long-obscured job that only humans are currently capable of doing - commercial content reviewer.

What is cloud computing? As Intel founder Gordon Moore once said, "The number of transistors that can be accommodated on integrated circuits will double every two years.". In other words, processor performance doubles every two years. With such rapid development, the cost of hardware is getting lower and lower, and a single enterprise can afford a large number of servers.

Stability AI is the company behind Stable Diffusion, a text-to-image model that is one of the more popular generative AI tools besides OpenAI.

In commercial buildings, IoT devices are often any device used to manage facilities or improve operational efficiency and productivity, including smart sensors, smart locks, smart thermostats, smart HVAC, smart lighting and smart security.

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.

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.

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.