Don't be afraid of DeepSeek! According to Nvidia's press release, building an AI acceleration computing center is the most important infrastructure for national anti-fraud.

One of the key features of Nvidia's leading artificial intelligence technology is to accelerate the Depth learning of the Alexnet neural network, allowing AI computing to process at super speed. By training AI through machine learning to create a neural network recognition system similar to the human brain, AI can think and learn through Depth learning. The method involves feeding AI with a large amount of data, allowing AI to be "educated" like humans, accumulating "knowledge" just as humans accumulate knowledge in the memory database stored in the brain. This helps humans learn and grow from mistakes. This is why developing AI requires investment in computation and data storage, in addition to algorithms. Only by quickly processing data and storing "experiential" data can AI gradually mature, just like a child developing from infancy to adulthood, learning and growing wiser.

Scale AI founder Alexandr Wang particularly emphasizes that the computing efficiency of Nvidia chips accelerates Depth learning. After the US blocked the export of Nvidia chips overseas, it indeed slowed down the progress of AI development in China. In a recent open letter on Scale AI's official website, Alexandr Wang specifically urged President Trump to properly allocate funds for the development of artificial intelligence technology, allowing AI to function in different fields. He mentioned that China's AI could quickly surpass the US, mainly because the US has mostly invested AI development funds in 'algorithms,' but 'computing' and 'data' also require funding for research, the former accelerating AI Depth.