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I just realized recently that the integration of fully homomorphic encryption technology and AI has become significantly different. In the past, everyone always complained that FHE was too slow, but in fact, the hardware support couldn't keep up. Now, with the gradual maturity of GPU and dedicated chip acceleration solutions, the performance bottleneck has long been broken.
Looking at the Mind Network route, they have integrated fully homomorphic encryption and AI very deeply, forming a complete chain from technical implementation to application landing. Interestingly, in the secondary market, the number of targets that can directly participate in this track is few, and scarcity is indeed evident.
As AI's demand for privacy computing increases, the imagination for this combination is still very large. It’s worth paying more attention to the progress in this direction.