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Magnate that Has a Learning Panel
Author: Seven to eight hundred million
Ongoing · 1.1M Views
Synopsis
If learning could endow you with both wealth and a robust physique, would you study relentlessly? Li Shi, who is on the brink of unemployment, suddenly acquired a "Learning Panel" in his mind. By acquiring knowledge and skills, he could incrementally improve his "wealth" and "physique" traits: each additional point in wealth enables him to exchange for one kilogram of any matter he has ever possessed; for each additional point in physique, his physical condition improves by a tenth of that of a healthy adult.
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Super Godly Machine Army

Jiang Li accidentally transmigrated to a fantasy world along with a game called Super Godly Machine Army. [Ruler Panel] [Ruler: Jiang Li] [Game: Super Godly Machine Army] [Interface: Military Units] [Infantry Machine Unit], [Navy Machine Unit], [Air Force Machine Unit], [Space Machine Unit], [Special Forces Machine Unit] [Energy Points: 0] [Soul Sparks: 0] Soon, Jiang Li created Combat Machine Soldiers, Electric Machine Soldiers, Liquid Metal Machine Soldiers, Machine Dragon Riders, Nether Energy Machine Soldiers, Machine Engineers and many more. This was the story of a man in a fantasy world who became invincible by creating a machine army that dominated the world.

Autumn Lu · Eastern

After Learning How to Read Minds, Mr. Huo Takes Me to Bed Every Night!

Shocking! The famous Lin family in Jinchuan went bankrupt. The public: Who made it happen? Insider: The unworthy descendant, Lin Wanli! *** Shocking! The ruler of Jinchuan, Huo Guixiao, is getting married! The public: Who is the bride? Insider: The domineering and arrogant Lin Wanli! *** Shocking! The identity of the person in charge of Taixi Biology had been revealed. The public: Who is the CEO? Insider: Is it still... Lin Wanli? That loser?! *** In her previous life, Lin Wanli was tricked by her best friend, framed by her scumbag father, and rejected by her grandmother. She couldn't even protect her eight-month-old daughter, who was tossed in the trash by her nanny. After reincarnating, Lin Wanli desperately seized the opportunity to exact revenge. She also won over the man who helped avenge her. It's just... She always thought that man also reincarnated. This was until she realized he could easily read her mind. "Mr. Huo, isn't it a little rude of you to have reincarnated with special skills?" Lin Wanli asked. "When did I ever say I reincarnated?" He asked. "Did I misunderstand you?" "Not exactly. I do have a special skill. For example, I could hear you complaining about the bed being too small last night," he replied.

Passion Honey · Urban

Max-Level Learning Ability: Facing The Cliff And Repenting For 80 Years

“Li Qingshan, as the eldest student of the Yuhua Clan, and the son of the emperor of the Yan Dynasty, you were charmed by the Demon Clan’s divine saintess and released her. Do you admit to your sins?” “I am willing to relinquish my position as the eldest student and lock myself in the Siguo Cliff to wipe the forest of tombs.” “Allowed. But you will also have to wipe all the results of your cultivation thus far, destroy your cultivation root, and you will not be allowed to exit for the rest of your life!” From then on, Li Qingcang stayed at the Siguo Cliff and wiped the Forest of Tombs every day. Somehow, he activated the max-level learning abilities. [You watched closely and activated the max-level learning abilities, you instantly learned the Great River Swords Qi] [You watched closely and activated the max-level learning abilities, you learned the Triple Sword Strike] [You watched closely and activated the max-level learning abilities, you learned the Sky Turning Print] After several decades, the Divine Path golden ranking descended upon the world and ranked all of the powerful individuals in the human realm. Li Qingshan ranked number one straight away. The comments that the rankings had for him—God amongst man!

Girl In Short Skirt · Eastern

From Young Girl to Killing Machine in the Tang Dynasty

Using the blood of demons as ink and the Hundred Demon Records as scrolls, one can depict their forms and seize their supernatural powers. When Jiang Yuechu woke up one morning, she found herself to be a young girl in the prosperous Tang Dynasty. Under the moon over Chang'an, prosperity and decay coexist, immortals and Buddhas have vanished, and demons roam freely. Fortunately, killing creatures increases one's cultivation level, allowing one to record demons in the demon register and transform them into one's own power. From the domineering swordsmanship of the Tiger Mountain God to the eagle-eyed wolf-like gaze of the Green-Faced Wolf King. From the White Dragon's ability to control water to the Black Mountain Bear King's immense power! Jiang Yuechu sometimes felt troubled, wondering why she was gaining more and more supernatural powers.

Rkthegreat11 · Fantasy

Nano Machine (END)

Until he became the lowest-ranked master, his lonely and luckless life never changed. Suddenly one day, a descendant injected him with a nanomachine, and the machine started ‘speaking’ to him. [I am the seventh generation Nanomachine manufactured by Sky Cooperation, and I am operating as a central nerve connected to your brain.] “What? What are you talking about?” This was beyond the boy’s knowledge, he turned pale. The Nanomachine linked to his cerebrum realized the User was not understanding a single word it said. “Who are you, and why are you doing this to me?” [“I am the seventh generation Nanomachine.] “Nano Machine?” [Yes, Nanomachine.] The boy’s face hardened. Mashin was the deity the Mashin Religion worshipped, along with the Sacred Fire. The religions’ Master communicated with Mashin. “Um, are you really Mashin?” The boy knelt down and asked with a trembling voice. At this, the Nanomachine attached to his cerebrum realized it had been misunderstood.

Kinzinho · Action
Related Reviews
Related Questions
What is novel in machine learning?
1 answer
2024-10-12 18:01
Well, when we talk about what's novel in machine learning, it can be things like breakthroughs in deep learning architectures, the development of more efficient optimization algorithms, or the application of ML in previously unexplored domains.
What are the best - selling science fiction and machine learning books?
2 answers
2024-11-24 07:46
In science fiction, 'Foundation' series by Isaac Asimov is very well - known and has sold a great number of copies. As for machine learning, 'Artificial Intelligence: A Modern Approach' by Stuart Russell and Peter Norvig is also among the best - sellers as it offers a broad overview of AI and related fields.
What are the features of a machine learning caricature?
2 answers
2025-06-15 10:58
A machine learning caricature usually exaggerates certain characteristics or patterns in the data it represents. It might focus on highlighting outliers or significant trends in a visually striking way.
Can machine learning write novels?
1 answer
2024-11-14 22:45
Sure. Machine learning techniques have advanced to a point where they can write novels. Programs are developed to analyze a vast amount of existing literature. By understanding the grammar, vocabulary usage, and narrative structures in these texts, machine learning models can start to generate their own stories. But these machine - generated novels often have limitations. They might produce text that seems a bit mechanical or lacks the unique voice that a human author has. Also, they may not be able to fully understand complex emotions and cultural nuances that are crucial in great novels.
What are the top stories in machine learning?
1 answer
2024-11-12 23:43
The top stories in machine learning can cover a wide range. Firstly, the improvement in reinforcement learning algorithms which are being used in various fields like robotics to optimize actions. For instance, in industrial robotics, these algorithms can help robots perform tasks more efficiently. Secondly, the rise of transfer learning, which allows models to use knowledge from one task to another. This has greatly reduced the time and resources required for training new models. Additionally, the use of machine learning in environmental science to predict climate change patterns and analyze ecological data is also among the top stories.
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