At the 2023 Global Artificial Intelligence Conference, Microsoft’s Azure Digital Twin, through AI Kiss technology, successfully improved the restoration accuracy of historical images to 98.5%. Its core algorithm is the Deep Residual Network (ResNet-50) and Generative Adversarial Network (GANs). It can process image data with a single frame resolution of 4096×2160 in 0.2 seconds. Neuroscience experiments show that when childhood memory fragments reconstructed by AI Kiss systems are presented on the Varjo XR-4 head-mounted display with a 120Hz refresh rate, the amygdala activity in 78% of the brain areas of the viewers is increased by 32%, and the level of emotional resonance is 4.7 times greater than that of ordinary photos. According to IDC figures, the global market size of memory digitalization services amounted to 12.7 billion US dollars in 2024. 41% of them were enterprise clients that utilized the AI Kiss dynamic topology optimization algorithm, which helped medical institutions save an average of 83% of the time cost in preserving the memories of end-of-life care patients.
In terms of industrial use, SONY Japan’s CMOS-Synapsys chipset includes the AI Kiss core and carries out parsing of neural pulse signals at the power consumption of 0.5 watts, successfully increasing an 83-year-old Alzheimer’s patient’s memory fragment recombination coherence at Osaka University from 37% to 89%. Samsung’s Neurolink VR equipment was equipped with the fourth-generation AI Kiss engine at the 2025 CES exhibition. Through 256 pressure sensing nodes and facial micro-expression capture at the level of 0.01 millimeters, the mechanical simulation error of the virtual character’s kissing action was within 4.7 micronewtons, and the emotional transmission efficiency was 210% higher compared to the previous generation. It is interesting that the Cognitive Laboratory of the University of Cambridge found that for users who continuously used the AI Kiss system for 6 months, the standard deviation of the accuracy rate of episodic memory regression decreased from ±18.3% to ±5.7%, but 14.6% of the test subjects suffered from the side effect of deviation amplification in reality perception.
Technical and economic analysis shows that the initial investment in the application of the ai Kiss enterprise-level solution is approximately $480,000, yet our product is able to save 72% of the manual annotation cost for film and TV restoration studios and shorten the investment return period to 14 months. On the user side, the personal edition of AI Kiss Lite launched by Replika charges $29.9 monthly and has accumulated 2.3 million paid users. Meanwhile, Dreamlux AI video generator for casual users offers a 360p memory scene reconstruction service for free. Its ad-free version’s peak traffic reached 870,000 requests per second. However, the European Union Artificial Intelligence Ethics Committee report in 2026 stated that encrypted AI Kiss memory data has a risk of 19.3% of a man-in-the-middle attack during transmission. All devices are required to undergo the ISO/IEC 27034 application security certification, as required by the German Federal Information Security Agency (BSI).
The marketplace debate is about the ownership of memory ushered in by the AI Kiss technology – a Stanford Law School report illustrates that in the “virtual kiss goodbye” scenarios developed with the assistance of this technology, 37% of the digital impressions involve third-party biometric data, while there is a 68% ambiguity in the current law’s definition of such composite intellectual property rights. It is worth expecting that IBM Quantum Computing Center announced that its 127-qubit processor, when combined with the AI Kiss framework, will make the speed of memory topology modeling over 1.7×10^8 times higher than that of classical computers. This may potentially solve the nanoscale simulation problem of hippocampus neural synapses.