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In the era of AI, the concept of in-memory computing has gained momentum again. Why does in-memory computing seamlessly integrate with AI applications? Can it be a “game-changer” that overcome the bottleneck of traditional computing methods?
While RISC-V may currently lag behind Intel or AMD's cutting-edge CPUs in terms of competition, its development prospects have significantly expanded thanks to the flourishing AI industry.
While users enjoy the convenience brought by AI, how to protect their privacy from being leaked and shared has become one of the biggest uncertainties affecting the development of generative AI.
It is urgent to formulate AI laws and regulations in various countries. How will development be affected?
Why are creators so wary of generative AI? Why does the seemingly omnipotent AI sometimes reply with crudely wrong answers?
Will the Matthew effect between large and small companies be exacerbated by the huge construction costs of AI infrastructure? Which AI business model is more suitable?
Artificial intelligence assists enterprises to operate more efficiently, but the decision-making process formed by neural networks is carried out in a black box.
Why did China choose to be at the forefront of the world in the 5G era? Is 5G really not popular?
Most operators believe that satellite connectivity solves the problem of the last 5% of land area and the last half percent of potential customers, and this is the value of satellite communication technology.
Why did the UK make this decision?Does this investment pave the way for China to become a technological powerhouse?