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    Afterward, Charlie Wade inquired, “Brother, do you see this technology being particrly beneficial in your line of work?”


    Trent paused for a moment before responding, “If it’s merely formunication purposes, it’s not very impactful. However, when ites to encryptedmunication, it holds significant value. With AI, the encryption strategies can be much more intricate, which in turn raises theplexity of breaking them. Additionally, if we n on implementing satellite monitoring in the future, AI should prove to be quite advantageous.”


    Charlie Wade followed up, “What type of satellite monitoring are you referring to, brother?”


    Trent exined, “It pertains to satellite photography. Modern civilian satellite images boast remarkable uracy. While I can’t assert that Google’s satellite images can capture license te numbers clearly, they definitely can capture text asrge as a car hood with great rity. Such satellite imagery is incredibly useful, allowing for the identification of general military targets with the naked eye.”<h3 style="background-color:DodgerBlue">


    He continued, “On my way here, I was contemting how your current AI model resembles a nuclear power nt dedicated to generatingputing power. Itsputational capabilities are exceptionally abundant, capable of supporting not just a single factory but an entire industrial city, facilitating the production of various goods. Therefore, I hope that in the future, we can establish our own satellite image library simr to Google’s. This would enable us to leverage AI for image quality enhancement and intelligent retrieval, significantly benefiting the security interests of Wanlong Hall, both in the Middle East and globally. This is a key reason for my visit to this data center and my desire to reconnect with you.”


    Charlie Wade nodded thoughtfully, stating, “If a civilian-grade vehicle can capture clear images of text asrge as a car hood from orbit, that rity is truly astounding. It’s likely we could identify who has excavated an underground bunker and pinpoint its location. If the data is updated swiftly, the relevance and timeliness would be further amplified.”


    “Exactly,” Trent replied. “However, the challenge lies in the fact that the higher the image resolution, the greater the equipment demands, the more extensive the data collection workload, and therger the image database needs to be.”


    “Consider the Earth as a football field popted with 50,000 individuals. If we take a single group photo of everyone, each person would only upy a few pixels, making it impossible to identify anyone. Using such a photo as a reference would render finding a specific individual impossible. Even if you know someone is in that photo, you would still be at a loss.”


    “Now, if we ce a camera in the center of the field, segment the area into ten sections, and capture ten images in each section tobine them, the uracy of the image would improve tenfold. Yet, with so many people, even this enhanced resolution might still only show a sea of faces.”


    “By dividing the 50,000 individuals into 100 segments, taking a photo of each, and then merging those 100 images, we could enhance uracy to a point where we might distinguish between genders. However, this would also mean that the image database would grow to 100 photos.”


    “To achieve facial recognition for all 50,000 people in a single photo, we might need to expand our library to 1,000 images,” he added.


    “With optimal satellite imaging capabilities, we would require a high-resolution telephoto lens to take numerous close-up shots of each person, ensuring that every facial feature and pore is distinct. These close-up images would need to be stored in our database. This way, if we wish to identify a specific mole on an individual’s face, we would need to have that person’s photo in our database, allowing us to locate the one with the mole among all the close-ups.”<fnc6dc> Readplete version only at find?novel</fnc6dc>


    “Searching for a mole is rtively straightforward since it’s located on the person’s face. Once you identify the individual, locating the mole bes simple. However, if we aim to find a specific mosquito within a stadium filled with 50,000 people, even if we know it’s captured in a certain image, pinpointing that mosquito among hundreds of thousands or even millions of photos would be immensely challenging.”


    “Scaling this analogy to the entire Earth, the database would be unimaginably vast. Under such circumstances, searching for and identifying a moving target manually would be akin to finding a needle in a haystack. While we might know the needle’s somewhere in the ocean, we may never uncover it in our lifetime. However, if we feed all the data into an AI model and train it to seek out what we desire based on our parameters, AI could assist us in locating anything we need in the shortest time possible.”


    Trent added, “Moreover, AI excels at enhancing image quality. If we capture a distant photo that appears slightly blurry when erged, AI can autonomously optimize the image based on its understanding of the content and pixels, restoring rity. Yet, when faced with an extensive database, insufficientputing power could mean it takes one or two years to optimize everything.”


    “However, with ampleputing power, private firms might be able to capture satellite images within just a few days. Thesepanies can alsounch ormission satellites for imaging. Nevertheless, ultra-high-precision satellites are not easily essible to private entities. The best hardware we might obtain would beparable to Google’s satellite imagery. In this scenario, having an AI model supported by sufficientputing power could helppensate for hardware limitations, potentially surpassing Google’s image quality.”


    “More urate images that can be automatically retrieved by AI would have significant strategic implications.”


    Charlie Wade pondered, “If we can achieve this milestone, the strategic importance is indeed profound, not only for the Wanlong Hall but also for me personally. Brother, do you think this step is difficult to aplish?”


    “It is,” Trent agreed, “To be frank, Mr. Wade, anything satellite-rted is challenging. The technology isplex, the production is demanding, and theunch process is intricate. Sessfullyunching and cing a satellite into orbit is even more difficult. Currently, we are preparing amunication satellite, which is among the least technically challenging. However,unching a photo reconnaissance satellite would elevate the difficulty across the board by at least tenfold.”


    Trent continued, “That said, with this AI model as our foundation, it should be rtively manageable! It would be even better if we could acquire a sizable private enterprise within the satellite sector!”


    Charlie Wade asked, “Which private enterprise in the satellite field holds the most strength?”


    Trent answered without hesitation, “Without a doubt, it’s Elon Musk’s SpaceX, currently thergestmercial satelliteunchpany in the world.”


    Charlie Wade nodded, “I’ve heard of Musk’s achievements. He certainly has made waves. The only concern is that he’s still quite young. If he were 20 or 30 years older, I could probably persuade him to sell thepany to me by tomorrow.”


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