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.

As sustainability becomes a front and center topic for the enterprise, stubborn misconceptions about the power consumption of cloud-based deployments need to be debunked.

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.

The first application of blockchain is Bitcoin. Blockchain has become the promoter of "decentralized currency Internet" by providing power for cryptocurrency. By providing transparency, accountability, immutability and security, the blockchain soon triggered an influx of more cryptocurrencies. Today, we have more than 10000 different cryptocurrencies in circulation.

Blockchain technology changes the original remittance mode of confirming and transmitting node by node like a relay race to real-time synchronized parallel confirmation by business nodes through distributed ledger technology, which improves efficiency and changes the operation mode.

Artificial intelligence, also known as machine learning, is a software system pioneered decades ago and based on neural networks.

Blockchain is a technology that has evolved over time. While it can provide rapid asset transfers, it also maintains the integrity of assets. Let's take a look at what the application of blockchain technology can offer the Postal Service.

Auto-GPT is an experimental open source application that demonstrates the capabilities of the GPT-4 language model.

A very obvious phenomenon is happening - the meta universe is being praised by more and more people, whether it is a technology giant or a capital giant. At the same time, the blockchain is returning to rationality and objectivity bit by bit. This is a good phenomenon for blockchain.

The reason that AI can generate accurate answers without relying on traditional databases is because AI can perform applications in natural language processing, machine learning, knowledge graph technology, and semantic analysis techniques.