Search Results: AI (108)
Microsoft is developing an AI chip, codenamed "Athena," to power AI chatbots like ChatGPT.
Although the iPhone is also tested for water resistance, there are always exceptions. If the Apple phone is in water, these methods can help you.
CoinSmart Chain is a new blockchain with a mature environment for developing high-performance decentralized applications. It is designed for cross-chain compatibility with CoinSmartChain to ensure that users get the advantages of both.
AI can now code in any language without additional training.
Enterprises should consider data privacy and security when considering whether to use a public or private blockchain for storage.
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
Today is a dynamic time for those who make and love music. The digital revolution has civilianized the means of creating music: anyone can record a sound that can be shared with anyone around the world.
The integration of deep learning with traditional industries in application has made AI an unprecedented explosion. But as Li Feifei, a professor at Stanford University, said, there is still a long way to go no matter in terms of intelligence, manpower or machine equipment.
The decentralized, consensus-driven and lack-of-trust nature of blockchains makes them inherently resilient to attacks.