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In the future, the development of AI will be faster
In the future, the development of AI will be faster
25 years ago, when the network just appeared, everyone became e - commerce, and every process became "networked." Now, with the development of AI technology, everyone will become "AI enterprise" or "C enterprise", that is, cognizant enterprises, everyone is acquiring "cognitive ability". Each process is "cognitive". Each process will be learned from new data and new interactions.
The guest is Manuoji Na Isaacson (Manoj Saxena), he and we discuss the cognitive computing, data, DARPA, AI, consciousness and ability to explain excess convergence (superconvergeni) and other topics.
Manuoji Na Isaacson (Manoj Saxena), he has a master's degree in MBA from University of Michigan and India Institute of management science from. It is the CEO of CognitiveScale, which develops machine intelligent software for the medical and financial services market. Before that, Isaacson was the general manager of the IBM Watson project, and he was the first general manager of the project. In addition, he founded and sold two start-ups supported by venture capital institutions in five years. He is the founding director general manager of IV, an entrepreneur fund. It is a seed fund worth 1 dollars, which specializes in cognitive computing technology.
Five misunderstandings about AI
Q: as we all know, you always avoid the word "Ai" (AI), and tend to use "cognitive computing". Even in your personal profile, you only mentioned the achievements in cognitive computing. Why is this?
Isaacson: for me, AI is the science of manufacturing intelligent system and intelligent machine, and cognitive computing and AI are mostly developed around the replacement of human thinking and create better systems for human work. I think the greatest opportunity for this technology, which has been confirmed in a number of research reports, is to enhance human beings. So, for me, AI is not an artificial intelligence, but an enhanced intelligence. You can use machines to enhance and expand human ability. Cognitive computing is the use of AI technology and other technologies to match humans with machines to enhance human decision-making ability and experience.
I think of cognitive computing as an application of AI and other technologies. In particular, I call it Jarvis's suit of iron man. It makes everyone a superman. That's the meaning of cognitive computing. Frankly speaking, this is the field we started when we ran the IBM Watson project. We believe it is also the next big event in IT and enterprise field.
[q]: when the AI concept was proposed for the first time, researchers at the Dartmouth meeting, they think they can in the summer of that year and let it become a reality. In their papers, they believe that there are only a few laws in physics, and there are only a few theorems in electric power. They think AI needs only a few rules. AI had a lot of mistakes in the first place, but now, we are more optimistic about what it is going to do and what you can do with it. What has changed in the AI field over the past ten years?
Isaacson: I think there are two dimensions that need to be concerned. One is that when AI was initially developed, the whole intention was "artificial simulation of the world." Then, it turns to "simulating human thinking". Now, I think the most potential application is "simulating human and business experience". Each goal is very large. The original "simulated world" and "simulated brain thinking" can be seen as a large-scale practice. In many cases, we don't even know how the brain works, so how do you model what you don't understand? The world is so complex and so changing that we can't make such a big model at all.
Isaacson: I think we specialize in this job. If you take a closer look at the human mind, you may not believe that a child can become a genius overnight. Not to mention a genius that understands all science, all languages, and all countries. I think we have got more pragmatic results on how and where to apply the AI, not more research and science driven results.
[q]: I noticed that you used the word "thinking" two times, not the brain. Is this deliberate? If so, where do you think "thinking" comes from?
Isaacson: I think AI has a lot of hype now, and there's a lot of misunderstandings. I'd like to say, "today's AI is equivalent to 'artificially? Inflated' or 'amazing? Innovations'. I think there are five misconceptions in the field of 'artificial intelligence equals artificial expansion'. " One of the earliest misconceptions is that AI is the equivalent of a substitute for human thinking. I distinguish the human brain from human thinking and human consciousness. So, in the best case, what we want to do is to use some parts of the AI to simulate the function of the human brain, not to imitate human thought.
The guest is Manuoji Na Isaacson (Manoj Saxena), he and we discuss the cognitive computing, data, DARPA, AI, consciousness and ability to explain excess convergence (superconvergeni) and other topics.
Manuoji Na Isaacson (Manoj Saxena), he has a master's degree in MBA from University of Michigan and India Institute of management science from. It is the CEO of CognitiveScale, which develops machine intelligent software for the medical and financial services market. Before that, Isaacson was the general manager of the IBM Watson project, and he was the first general manager of the project. In addition, he founded and sold two start-ups supported by venture capital institutions in five years. He is the founding director general manager of IV, an entrepreneur fund. It is a seed fund worth 1 dollars, which specializes in cognitive computing technology.
Five misunderstandings about AI
Q: as we all know, you always avoid the word "Ai" (AI), and tend to use "cognitive computing". Even in your personal profile, you only mentioned the achievements in cognitive computing. Why is this?
Isaacson: for me, AI is the science of manufacturing intelligent system and intelligent machine, and cognitive computing and AI are mostly developed around the replacement of human thinking and create better systems for human work. I think the greatest opportunity for this technology, which has been confirmed in a number of research reports, is to enhance human beings. So, for me, AI is not an artificial intelligence, but an enhanced intelligence. You can use machines to enhance and expand human ability. Cognitive computing is the use of AI technology and other technologies to match humans with machines to enhance human decision-making ability and experience.
I think of cognitive computing as an application of AI and other technologies. In particular, I call it Jarvis's suit of iron man. It makes everyone a superman. That's the meaning of cognitive computing. Frankly speaking, this is the field we started when we ran the IBM Watson project. We believe it is also the next big event in IT and enterprise field.
[q]: when the AI concept was proposed for the first time, researchers at the Dartmouth meeting, they think they can in the summer of that year and let it become a reality. In their papers, they believe that there are only a few laws in physics, and there are only a few theorems in electric power. They think AI needs only a few rules. AI had a lot of mistakes in the first place, but now, we are more optimistic about what it is going to do and what you can do with it. What has changed in the AI field over the past ten years?
Isaacson: I think there are two dimensions that need to be concerned. One is that when AI was initially developed, the whole intention was "artificial simulation of the world." Then, it turns to "simulating human thinking". Now, I think the most potential application is "simulating human and business experience". Each goal is very large. The original "simulated world" and "simulated brain thinking" can be seen as a large-scale practice. In many cases, we don't even know how the brain works, so how do you model what you don't understand? The world is so complex and so changing that we can't make such a big model at all.
I think a more practical way is to use AI to simulate microexperience, either in the Uber application or in the Waze. Or to model a business process, whether it is a claim solution, or undertake insurance, or diabetes management. I think this is the third area where AI will be more focused. It's not modeling for the world, nor for thinking, but for human experience and business process modeling.
Isaacson: I think we specialize in this job. If you take a closer look at the human mind, you may not believe that a child can become a genius overnight. Not to mention a genius that understands all science, all languages, and all countries. I think we have got more pragmatic results on how and where to apply the AI, not more research and science driven results.
[q]: I noticed that you used the word "thinking" two times, not the brain. Is this deliberate? If so, where do you think "thinking" comes from?
Isaacson: I think AI has a lot of hype now, and there's a lot of misunderstandings. I'd like to say, "today's AI is equivalent to 'artificially? Inflated' or 'amazing? Innovations'. I think there are five misconceptions in the field of 'artificial intelligence equals artificial expansion'. " One of the earliest misconceptions is that AI is the equivalent of a substitute for human thinking. I distinguish the human brain from human thinking and human consciousness. So, in the best case, what we want to do is to use some parts of the AI to simulate the function of the human brain, not to imitate human thought.