Cloudera, the hybrid data company, announced the expansion of its Open Lake Warehouse All-in-One product, enabling customers to provide the foundation for analytics and artificial intelligence (AI) capabilities for all cloud and local data in the enterprise.

AIGC, or AI Generated Content, Artificial Intelligence Generated Content, usually includes areas such as writing, painting, music, and video, and has a variety of functions such as text-generated text, text-generated graphics, and text-generated audio and video.

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.

The core of the sharing economy is sharing-based transactions, and blockchain is the decentralized way to achieve the security and transparency of transactions.

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.

In today's digitalized world, both the logistics industry and blockchain technology are areas of great interest. The logistics industry is a key part of economic growth and international trade, while blockchain technology is superior in disrupting the traditional economic model and creating a new ecosystem of low-cost and high efficiency.

AI can now code in any language without additional training.

By providing players with new options for game ownership, trading and playing games, blockchain has the ability to revolutionize the gaming business.

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.