According to Wall Street Daily, Bryan Johnson, a Kernel investor in the US researching artificial intelligence company, said that the future market for implantable nerve repair and cognitive enhancement is limitless, and predicts that it may develop. Become the largest industry in history. The theme of this article is AI. For some basketball fans, the word "AI" first reminded them of Allen Iverson. The former Philadelphia superstar has now entered the NBA Hall of Fame. The "AI" we discuss in this article is "Artificial Intelligence." Evaluating artificial intelligence is even harder than evaluating a basketball player. There is still much to be said about the "good" and "bad" polarizations. Let us begin with the "AI threat theory." Fear is the ubiquitous psychology of the public in the face of AI. Even Stephen Hawking, who is a science incarnate, is constantly reminding humans to be wary that AI robots will someday replace humans. At the "Zeitgeist 2015 Conference", Huo Jinping's speech stated that computers will surpass humanity in some ways in a hundred years. He also hopes that human beings are better able to ensure that they have the ability to control their own creations at the time, rather than being controlled by them. The cause of fear is unknown. Unknown is a neutral word. In addition to the aforementioned threats, AI has the ability to make a great contribution to people. For example, in the field of cyber security, Google Brain has once done a famous AI experiment, letting two AIs act as defenders, and constantly evolving their encryption algorithms to ensure that communications between the two are not stolen by third parties. The third AI in the experiment played the role of a hacker and tried to crack the encryption protocol between the first two AIs. The experimental result is that the information security battle ended with the success of the defenders. The security lines constructed by the first two AIs make it impossible for hackers to use AI. Awake, we don't really know how AI created their encryption algorithm. Google just proved that the plan to let AI take over the network security is feasible, but did not give further explanation. This also means that the recent commercialization is not realistic. Foreign media Singularity Hub pointed out in the comments: Neural network is very efficient in grasping communication metadata and network traffic analysis. Because modern AI and machine learning are inherently suitable for big data processing, people think that they can play a role in network security. However, everyone does not know how AI works in it. People only know that it can achieve good results, but they do not know why. At the same time, AI also showed surprising potential in other experiments. MIT's Carl Vondrick and his team developed a deep learning algorithm that "predicts the development of the surrounding scene and predicts the short-term future." As Varderek said in an interview with New Scientist, “Any robot that runs and works in our world has some basic ability to 'predict the future'. For example, if you want to sit down, you naturally don’t want robots to be The chair was pulled aside at this time.†The research team used 2 million videos from Flickr to train the AI ​​program. The video content is all-encompassing, with golf courses, train stations and hospital nurseries. These videos do not contain text categorization information, and rely on AI's own ability to 'learn and understand' the screen content. After the training is over, researchers look at AI for some static images, and then AI can predict what will happen next on the screen. John Daugman from Cambridge Computer Lab University credits the AI's incredible ability in the experiment to the use of computer vision and machine learning techniques. AI views images and learns the relationships and behaviors of various things. The model then predicts the development of a given scenario. The whole model is similar to the learning process of the human brain.AI has also been used in the aerospace industry. Previously, Wall Street Daily reported on the AI ​​program developed by Psibernetix, ALPHA, ALPHA. Designed to be able to pilot fighter jets and defeat human pilots in simulated combat.Building drones is complex and costly, and even the automation of existing manually-operated aircraft is not an easy task. (The predecessor of the Korean High-Tech Academy) may be able to solve this problem by developing humanoid robots. The robots they develop have human-like limbs that can sit in the driver's seat and simulate human motion to fly an airplane. Applied in the Air Force formation. Now Looking back at Dr. Hawking's question: how to ensure that the goals of computers are consistent with human goals. These examples of AI being used as human beings are the best response to the “AI threat theory.†Kernel is a company dedicated to the development of neuroprosthetic techniques. Artificial intelligence company Kernel tried to seek ways to enhance people's capabilities by implanting chips in the brain.In October this year, serial entrepreneur Bryan Johnson brought in $100 million in funding for Kernel. He has provided millions of dollars to Kernel through his investment company, OS Fund.Kernel hopes to significantly improve people's quality of life through technological means as human life span continues to grow. To achieve this goal, Kernel’s The primary plan is to develop a neuro-input/output device for patients with cognitive impairments.The investment from Johnson allows them to get rid of money worries and devote more energy to product development. Johnson's remarks explain that he is optimistic about Kernel's Reasons: "The sooner humans and artificial intelligence combine, the better. The relationship between human intelligence (HI) and artificial intelligence (AI) is symbiotic. The exploration of the co-evolution between the two will be the focus of future scientific and technological development, and the speed of development is of utmost importance. In order to achieve the perfect combination of the two, we need to seriously study HI. Johnson also predicted that this "human-machine integration" will be one of the largest industrial scenes in human history.
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