echemi logo
Product
  • Product
  • Supplier
  • Inquiry
    Home > Biochemistry News > Biotechnology News > Shanda Chen Tianqiao will invest $1 billion to help unlock the human brain.

    Shanda Chen Tianqiao will invest $1 billion to help unlock the human brain.

    • Last Update: 2020-08-08
    • Source: Internet
    • Author: User
    Search more information of high quality chemicals, good prices and reliable suppliers, visit www.echemi.com
    Chen Tianqiao, founder of Shanda Investment Group, has announced a $1 billion investment to help unlock the human brain, Bloomberg reported.
    he says major breakthroughs in the human brain may be imminent. 'A better understanding of how the brain works can help treat mental disorders and neurodegenerative diseases, ' said Chen Tianqiao, 45, a
    .
    Chen Tianqiao, a former Chinese tech giant, retired from the public eye in 2012 to focus on his mental health.
    also prompted him to divert attention and turn half of his personal wealth to brain research.
    Chen Tianqiao's investment includes $115 million to establish a neuroscience institute at the California Institute of Technology and 500 million yuan ($72.9 million) to set up a similar facility at Huashan Hospital, affiliated with Fudan University.
    Huashan Hospital is a leading neuroscience institution in China.
    Chen Tianqiao recently gave an interview to Bloomberg, the interview summarized as follows: Q: 30 years old to become a billionaire, what is your next challenge? Chen Tianqiao: Everyone is thinking about how to get rich, how to get rich, this is definitely the first mountain we need to turn over.
    We climbed the first mountain, I was lucky.
    after my illness and panic attacks, I began to think I could do more to help people directly.
    If we can't avoid death, let's try to ease the pain and pain.
    we are referring to chronic pain, including depression and anxiety.
    we talked to a lot of scientists and realized it was going to be a long journey because pain was not just a feeling, but also a manipulation of the brain. The only way
    to treat pain is to understand the mysteries of our brains and how we perceive it.
    Now, with the development of many new technologies, we can adopt a bottom-up approach: we can understand our brains from the molecular level, in circuits and patterns, in how memories are formed, and how emotions are formed.
    even though the second mountain is very high, we are very excited because I think now is the right time for humanity to answer these questions.
    maybe our donation (the $1 billion investment) could be a catalyst for the new discovery.
    ask: What do you think you can achieve in your lifetime? Chen Tianqiao: From a scientific point of view, we cannot set any goals for humanity in my lifetime, because science has no ultimate or so-called single truth.
    but from a technical and practical point of view, of course, we have some expectations.
    I want to know how humans deal with their emotions and thoughts. What are the basic mechanisms? For example, why am I so addicted to sweets? Why can't some people control themselves and turn relatively simple conflicts into violence? This will help to understand the disease and provide guidance to pharmaceutical companies.
    by a better understanding of our brains, we can have a greater impact on society as a whole.
    we can gain more power to help solve problems that affect all of humanity, such as suicide, terrorism, depression, anxiety.
    ask: How did this trigger a technological revolution? Chen Tianqiao: I think there will be infinite possibilities in the next 10 to 20 years.
    I've visited many labs and talked to a lot of scientists, and I've seen a lot of things you can only imagine in science fiction, but you can actually see them in the lab now.
    , for example, the brain-machine interface is expected to become a reality within 10 years.
    direct communication between the brain and the brain is no longer a dream, it will eventually come true.
    if we can detect your idea directly, all these traditional communication programs will be skipped.
    you can see a lot of experiments about mind reading and mind control, all of which will happen.
    I am very optimistic about the potential impact of achieving this goal, but I am concerned that if not handled properly, it will also have a negative impact.
    ask: How can we avoid this? Chen Tianqiao: The government should find a solution, different governments have different views.
    technology would bring some danger to the world, but I am very optimistic about the future. The key
    is to reduce the cost of this transition period. many people are worried that
    machines will take more jobs away from humans.
    I'm not worried about jobs being replaced, because if you look back at history, you see a technological revolution every 100 or 1,000 years, some jobs disappear and more new jobs are created.
    I think we should learn how to talk to machines, not talk to people, and all problems, including human-to-people communication, will be solved by machines.
    .
    This article is an English version of an article which is originally in the Chinese language on echemi.com and is provided for information purposes only. This website makes no representation or warranty of any kind, either expressed or implied, as to the accuracy, completeness ownership or reliability of the article or any translations thereof. If you have any concerns or complaints relating to the article, please send an email, providing a detailed description of the concern or complaint, to service@echemi.com. A staff member will contact you within 5 working days. Once verified, infringing content will be removed immediately.

    Contact Us

    The source of this page with content of products and services is from Internet, which doesn't represent ECHEMI's opinion. If you have any queries, please write to service@echemi.com. It will be replied within 5 days.

    Moreover, if you find any instances of plagiarism from the page, please send email to service@echemi.com with relevant evidence.