Chapter 10 Acquiring Shares!
Chapter 10 Acquiring Shares!
"The company has purchased batteries at prices 15% higher than the market average over the past three years. The actual controller of the supplier, Xinghai Electronics, is your brother..."
When all the evidence was laid out on the table, the meeting room fell silent immediately.
"You can hand these materials over to the police, or you can pretend you didn't see them. The choice is yours."
Zhang Mingyuan's hands were trembling, and Li Xiuyun had slumped into a chair...
They never expected that Old Shen would teach Shen Fei so well... and keep it hidden so well.
"I need to see both of your resignation letters by tomorrow."
Shen Fei stood up: "Considering you've followed my father for so many years, hand over your shares, and this matter will end here. But there's no place for you in Chuanyin anymore."
After saying that, he left the conference room without looking back.
The moment the door closed, Zhang Mingyuan's hysterical roar and the sound of things being smashed came from behind.
The telepathic message should have been his! Shen Fei, that good-for-nothing, wouldn't it have been better for him to be a carefree prince? Now everything is gone... gone.
Shen Fei, standing outside the door, said, "Mr. Zhang, you'll have to pay for things at full price if you break them."
After saying that, Shen Fei laughed and walked towards his office. Of course, he wasn't that merciful.
This is just the beginning.
…………
Back in his office, he wearily rubbed his temples, as another notification sound rang in his mind...
The monitoring host has successfully stabilized its domestic base and eliminated internal parasites.
Task rating: B+
Reward distribution: Algorithm for optimizing dark-skinned portraits.
Bonus: A professional investment team of 30 operators. Note: This team is proficient in global financial market operations and specializes in crisis arbitrage.
Shen Fei's eyes lit up. In September 2008... if he remembered correctly, Lehman Brothers was about to go bankrupt.
With Huang Tianya by his side, he could have become a beneficiary in this crisis.
But now that there are more people, we can earn more...
Shen Fei thought for a moment, then sent the message to Huang Tianya. Huang replied with an "OK" and sent a brief report before continuing the operation.
Shenfei's original 1000 million has now become 4200 million.
In less than a week, the profit was 420%... It seems that Huawei's terminal market is indeed likely to be captured.
After reading the detailed report sent by Huang Tianya for a while, Shen Fei's eyes got a little tired, so he simply closed the report and continued to focus on the task at hand.
The algorithm has been received; the next step is to turn it into a product.
"Engineer Chen, gather all image algorithm engineers for a meeting in one hour."
"yes!"
…………
At the same time, on Wall Street.
The offices at Lehman Brothers headquarters were brightly lit. Although the executives looked somewhat solemn, they were mostly relieved or even joyful.
Although this 158-year-old investment bank is standing on the edge of a cliff, about to fall off.
But they've already gotten what they were entitled to. As for the consequences, that's the responsibility of those "leeks" (victims).
After all, investing involves risks.
What impact it might have is none of their business; they're already looking beautiful...
But what no one knows is that in faraway China, a Chinese company on the verge of bankruptcy is using a starting capital of 1000 million yuan to try and make a living, and has already reaped considerable profits.
[Investment Team Operation Log: On September 8th, a short position in Lehman Brothers Credit Default Swap (CDS) was established.]
Notional principal of $500 million, leverage ratio of 20...
$500 million can be leveraged to generate hundreds of millions of dollars. If successful, it will bring enormous profits. The financial crisis is a disaster for some, but a feast for others.
What Huang Tianya had to do was to earn enough ammunition for his boss before the feast ended.
…………
The Transsion R&D Center, though called an R&D center, is really just a few offices.
The conference room was full of people, including Chen Hai's hardware team and more than 10 software engineers poached from other mobile phone manufacturers or internet companies.
Everyone's faces showed exhaustion and a hint of doubt. They had been urgently summoned because the young CEO, Mr. Shen, was supposed to personally explain a revolutionary algorithm.
Shen Fei stood in front of the projection screen, his sleeves rolled up to his elbows, but his eyes were filled with excitement.
"Enough with the chit-chat, let's get straight to the results."
He turned on his computer, connected it to the projector, and two photos appeared on the screen, both portraits of the same Black model.
The photo on the left was taken with a Nokia N95, one of the best camera phones on the market right now. However, the model's skin tone is dull, details are blurry, and she is almost invisible in low light.
The one on the right is equally awful...
"This was taken with our T100," Shen Fei said. "With the same lighting, the same model, and the same shooting distance, we were indeed inferior."
But I hope that in the future we can achieve the effect shown in the image below.
Then another photo appeared on the big screen, and a collective gasp filled the conference room, accompanied by a self-deprecating laugh.
"Can we really do it?"
After all, in this new photo, the model's skin tone is naturally bright, her facial features are clear, and even the details of her eyelashes are visible. The photo is overall clear and bright, completely avoiding the problem of dark skin tones appearing as a black blob when taken with a regular mobile phone.
"This is impossible..." muttered an algorithm engineer who had jumped ship from Nokia.
"Actually, our team has studied the impact of racial skin color differences on imaging. Solving this problem is very complicated, requiring a complete redesign of the LSP pipeline and even modifications to the sensor's filters."
The whole process was extremely complex, even requiring cooperation from upstream manufacturers. Custom-made solutions would have significantly increased costs, so our team ultimately decided to abandon that approach.
"That's right."
Shen Fei nodded: "So we didn't modify the hardware, but instead solved the problem at the algorithm level."
He switched to a different PowerPoint presentation, and a complex algorithm flowchart appeared on the screen.
"Traditional image processing workflows are designed and trained based on the skin color of Caucasians and Asians." Shen Fei pointed to the flowchart with a laser pointer, and the engineers in the audience were somewhat convinced at this point.
"White balance correction, skin tone detection, exposure compensation... every step is unfriendly to dark skin tones, for example here..."
He zoomed in on a module: "The face detection algorithm uses the Haar feature classifier, and the black samples in the training data are less than 5%."
Therefore, under moonlight, Black faces are often not detected, making subsequent exposure optimization impossible.
Several engineers nodded; this was an industry consensus. After all, Black people who could afford a phone were a minority, and giving them a 5% sample was already...
"Our solution will mainly consist of three steps..."
Shen Fei turned the page again, and when everyone saw the detailed flowchart, they immediately frowned. This plan was too...
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