The Amazing son in law Chapter 6962
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Afterward, Charlie Wade inquired, “Brother, do you see this technology being particularly beneficial in your line of work?”
Trent paused for a moment before responding, “If it’s merely for communication purposes, it’s not very impactful. However, when it comes to encrypted communication, it holds significant value. With AI, the encryption strategies can become much more intricate, which in turn raises the complexity of breaking them. Additionally, if we plan 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 explained, “It pertains to satellite photography. Modern civilian satellite images boast remarkable accuracy. While I can’t assert that Google’s satellite images can capture license plate numbers clearly, they definitely can capture text as large as a car hood with great clarity. Such satellite imagery is incredibly useful, allowing for the identification of general military targets with the naked eye.”
He continued, “On my way here, I was contemplating how your current AI model resembles a nuclear power plant dedicated to generating computing power. Its computational 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 similar 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 as large as a car hood from orbit, that clarity 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 the larger the image database needs to be.”
“Consider the Earth as a football field populated with 50,000 individuals. If we take a single group photo of everyone, each person would only occupy 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 place a camera in the center of the field, segment the area into ten sections, and capture ten images in each section to combine them, the accuracy 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 accuracy 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.”
“Searching for a mole is relatively straightforward since it’s located on the person’s face. Once you identify the individual, locating the mole becomes 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 enlarged, AI can autonomously optimize the image based on its understanding of the content and pixels, restoring clarity. Yet, when faced with an extensive database, insufficient computing power could mean it takes one or two years to optimize everything.”
“However, with ample computing power, private firms might be able to capture satellite images within just a few days. These companies can also launch or commission satellites for imaging. Nevertheless, ultra-high-precision satellites are not easily accessible to private entities. The best hardware we might obtain would be comparable to Google’s satellite imagery. In this scenario, having an AI model supported by sufficient computing power could help compensate for hardware limitations, potentially surpassing Google’s image quality.”
“More accurate 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 accomplish?”
“It is,” Trent agreed, “To be frank, Mr. Wade, anything satellite-related is challenging. The technology is complex, the production is demanding, and the launch process is intricate. Successfully launching and placing a satellite into orbit is even more difficult. Currently, we are preparing a communication satellite, which is among the least technically challenging. However, launching 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 become relatively 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 the largest commercial satellite launch company 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 the company to me by tomorrow.”
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