Rejecting Tsinghua and Peking Universities: I Will Lead Harbin Institute of Technology to World Lead

After a moment of silence, the meeting room erupted in a flurry of activity as more than a dozen experts stood up and bombarded the room with questions.

"Comrade Lin Feng, how does your cross-modal data fusion architecture address the semantic gap problem?"

How is convergence guaranteed in spatiotemporal alignment algorithms for multi-source heterogeneous data?

How does the false positive rate of behavioral pattern analysis change in the context of complex social networks?

"The interpretability of deep learning modules..."

Each of them is a leading figure in the field of artificial intelligence in China. The questions they raised went straight to the core, and each of their difficulties had stumped the entire industry for years or even decades.

Lin Feng walked calmly to the main screen.

He pulled up the system architecture diagram and tapped the first question area: "Regarding the cross-modal semantic gap, we adopted a hierarchical attention mechanism combined with knowledge graph embedding."

The screen instantly unfolds a three-layer algorithm structure, with each layer labeled with detailed mathematical formulas and flowcharts.

"As you can see, the first layer is raw feature extraction. We improved the Transformer architecture to enable it to process twelve modalities of data simultaneously, including text, images, speech, and network traffic. The second layer is cross-modal attention fusion, where a dynamic gating mechanism is introduced..."

Lin Feng's explanation was clear and insightful, covering everything from mathematical principles to engineering implementation, from theoretical boundaries to practical limitations, leaving nothing out. He seemed to have already mastered all this knowledge, and every answer he gave hit the nail on the head.

As the explanation went deeper, the experts' expressions changed from skepticism to focus, and from focus to shock.

Academician Zhou, who had asked the first question, widened his eyes in astonishment. When Lin Feng discussed the latest optimization methods for cross-modal representation learning, he couldn't help but slam his hand on the table and exclaim, "Brilliant! Absolutely brilliant! The design of this coupling loss function completely breaks free from the existing framework!"

Another academician, specializing in cybersecurity, took notes with trembling hands, muttering to himself, "So this is how abnormal behavior detection can be modeled... Our previous approach was completely wrong..."

During the three-hour presentation, the only sounds in the conference room besides Lin Feng's voice were the scratching of pens on paper and the occasional suppressed gasps of amazement.

After answering the last question, Lin Feng turned off the projector and looked around the room: "Seniors, do you have any further questions?"

The entire room fell silent.

Academician Zhou was the first to stand up and bowed deeply: "Chief Designer Lin, I have learned a great deal. Only today have I, an old man, truly seen the future of artificial intelligence."

Immediately afterwards, all forty-six experts stood up and applauded for a long time.

That wasn't just polite applause; it was a heartfelt tribute to knowledge and wisdom.

Lin Feng bowed slightly in return, then his expression turned serious: "Next, I will divide the experts into different groups, each responsible for different tasks, and together we will develop the Pangu Intelligent System."

No one objected, no one questioned.

Faced with absolute technical prowess, age, seniority, and titles become irrelevant. At this moment, Lin Feng is the undisputed core of this team.

That afternoon, Lin Feng and Academician Zhou discussed the matter until late at night, and finally determined seven special task forces.

The core algorithm group, led by Academician Zhou, is responsible for the most critical recognition engine; the data engineering group is responsible for building the training dataset; the system architecture group builds the underlying framework; the security verification group designs the privacy protection mechanism; the hardware optimization group adapts to the Tianhe supercomputer; the testing and evaluation group designs the verification scheme; and there is also a special tactical application group, composed of three experts transferred from the national security department, who will ensure the effectiveness of Pangu in actual combat.

The groups were formed, but Lin Feng did not immediately get everyone involved in research and development.

"To do a good job, one must first have the right tools." At the group leader meeting on the second day, Lin Feng said firmly, "Over the next week, I will provide specialized theoretical training to each group."

The lights at the Longyuan base stayed on all night this week.

Lin Feng was like a tireless mentor, rotating between different groups to teach. He derived a 27-page mathematical proof for the algorithm group; designed a brand-new annotation standard for the data group; optimized the distributed computing scheme for the architecture group; and even rewrote three lines of driver code for the hardware group, which increased the data throughput by 18%.

Every day, experts feel like they are relearning artificial intelligence.

Every day, new breakthroughs happen.

Late on the seventh night, after Lin Feng finished explaining the modeling method for the last reconnaissance case to the tactical application team, Academician Zhou looked at the seven notebooks filled with notes and was filled with emotion: "In my life, I have participated in thirty-seven national-level projects, and I have never seen such pre-research preparation. Chief Designer Lin, you are laying a theoretical foundation for us that will not be outdated for ten years."

Lin Feng simply smiled and said, "We'll start with real combat tomorrow."

On the morning of the eighth day, in the main research and development hall of the Longyuan base.

The seven workstations were arranged in a circle, with a holographic projection platform in the center displaying the research and development progress in real time. Lin Feng stood in front of the platform, his voice amplified throughout the hall: "Pangu Project, officially launched."

At that moment, everyone felt an invisible pressure and excitement.

Research and development is not always smooth sailing.

On the third day, the data engineering team encountered a problem—the espionage case data provided by the National Security Bureau had undergone extensive anonymization due to confidentiality requirements, resulting in a significant lack of key behavioral characteristics.

"President Lin, the model trained this way is completely unable to identify spies in real-world scenarios," the data team leader reported anxiously.

Lin Feng pondered for a moment, then brought up the system simulation space: "Use generative adversarial networks to synthesize a high-fidelity training set based on existing data. I will design the generator."

He worked continuously for eighteen hours, designing a data generation algorithm that could maintain the authenticity of behavioral patterns while completely desensitizing the data. When the first batch of synthetic data was produced, the national security experts in the tactical application group were shocked to find that the behavioral patterns of these virtual "spies" were 92% similar to those of real cases.

In the second week, the core algorithm team encountered even more challenging problems.

"President Lin, the system made a misjudgment during multi-target tracking, marking three overseas scholars engaged in normal academic exchanges as suspicious individuals." Academician Zhou frowned. "If actually deployed, it will cause a diplomatic dispute."

Lin Feng carefully reviewed the algorithm logs and found that the problem lay in the social network analysis module.

"When calculating the association weights, we overemphasized the suspicion value of cross-border interactions." He quickly located the root cause of the problem and proposed a solution: "Introduce an intent reasoning submodule, which combines publicly available academic achievements, conference minutes, and cooperation history to distinguish between normal academic exchanges and intelligence gathering."

Another round of tireless optimization.

Whenever a problem arises, Lin Feng can always pinpoint the crux of the issue immediately and propose practical solutions. It's as if he possesses a complete technical map, knowing every fork in the road and every pitfall.

Six months passed in countless debugging, optimization, and verification processes.

The countdown timer in the R&D hall shows: Day 179.

On this day, all team leaders gathered at the central platform. The integration testing of the seven modules had entered its final stage.

"Begin the final fusion," Lin Feng commanded.

Seven teams started operating simultaneously. The core algorithm module, like the brain, began to function; data pipelines, like blood vessels, transported information; the system architecture, like the skeleton, provided support; and security mechanisms, like the immune system, protected privacy…

On the holographic projection, data streams surged like a galaxy.

Ten minutes, twenty minutes, an hour.

Suddenly, all the data streams converged at one point.

A pale blue, humanoid phantom slowly coalesced and took shape in the center of the platform. It had no specific facial features, only flowing data patterns shimmering on its surface, as if woven from billions of lines of code.

"Pangu, initiate self-check," Lin Feng said softly.

The phantom "opened" its eyes—two soft beams of light.

"Self-test initiation... Core algorithm module operating normally... Data processing capability reaches 99.7% of design standard... Security mechanisms fully enabled... Tactical application interface ready..."

A clear, calm, and emotionless voice echoed in the hall.

"Self-check complete. Pangu Artificial Intelligence System, ready."

silence.

Then, cheers erupted like a volcano!

Academician Zhou, tears streaming down his face, tightly grasped Lin Feng's hand: "It's done! It's really done!" The young researchers embraced each other and wept. Half a year of high-pressure research and development, and countless sleepless nights, were all worth it at this moment.

Lin Feng gazed at the pale blue phantom, a flicker of emotion passing through his eyes.

But he quickly calmed down: "Next, we'll start training. We'll give Pangu all the data we've prepared for training."

The real test is just beginning.

During the first training exercise, Pangu made a major misjudgment when identifying complex disguises, mistaking the national security department's counter-espionage exercise for a real threat and issuing the highest level of alert.

Lin Feng retrieved the training logs and redesigned the spoofing detection algorithm.

During the second training session, Pangu missed a crucial intelligence lead while handling multilingual and mixed communications.

Lin Feng introduced a cross-language semantic unification model, enabling the system to understand the deeper meaning of language mixing.

The third time, the fourth time, the hundredth time, the ten thousandth time...

Every failure is an opportunity for optimization. Every misjudgment is a learning opportunity.

The R&D team followed Lin Feng, refining this nascent artificial intelligence from a vast sea of ​​data. They trained it with real-world cases, tested it with simulated scenarios, and put it under extreme pressure.

In its 327th training session, Pangu successfully identified a simulated spy network using a seven-layer encryption redirection.

In its 5189th training session, Pangu accurately identified three simulated targets with extremely elusive behavior amidst tens of millions of concurrent data streams.

The 100 millionth training session.

On the holographic projection, the color of the Pangu phantom gradually changed from light blue to deep indigo. Its "gaze" swept across the simulated entire Chinese cyberspace, and all three thousand hidden simulated spy targets were marked within 0.7 seconds.

False positive rate: 0.003%.

False negative rate: 0%.

Recognition time: Meets the standard.

Resource consumption: lower than expected.

"Training objectives achieved." Pangu's voice remained calm, but everyone could sense that this artificial intelligence had undergone a complete transformation.

Lin Feng looked at the evaluation report and slowly exhaled: "Pangu Artificial Intelligence, successfully developed."