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.
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"AI is not a technology, but a way of thinking," Jordan said. Talk with this scientist who has systematically studied psychology, cognitive science, mathematics, and participated in molecular biology, statistical physics, economics, control theory, linguistics, operations research and other projects, often feeling fresh and fresh.
GPT-4 will already design its own chips! One of the oldest problems in the chip design industry, HDL, has been successfully solved by GPT-4. And, the 130nm chip it designed has been successfully flowed.
In recent months, bad news about AI replacing jobs has been coming almost daily. Last Thursday, BT unveiled its latest plan, announcing that it will replace 10,000 employees with AI technology.
Sundar Pichai, CEO of Google parent company Alphabet, announced in a post on its official website that the company will merge two AI labs, Google Brain and DeepMind, to form a new division, Google DeepMind.
ChatGPT, an artificial intelligence community, has announced a new version - GPT-4 - that will allow users with access to the API to customize the "personality" of the AI.
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.
With the development of AI technology, people have been gradually carrying out applications in various fields of AI. However, the development of AI has also given some people an opportunity to take advantage of it.
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.
AWS recently announced several new tools for training and deploying generative AI on the cloud platform, extending its reach further into the AI software development space.
