We're thinking about A.I. wrong. Quantum computing can change that

#artificialintelligence 

There's a lot of convention behind the term "artificial intelligence," and potentially that is the problem. Conventional models for AI, which are based on how the human brain might work, are not effective as we still don't have a definitive understanding of how the brain works, says Eberhard Schoeneburg, founder of Alternative AI. He believes a new way of thinking must be adapted for AI. "Even if you have a very simplified model of the brain, it wouldn't solve all these issues or all these problems. The key aspect of Alternative AI is to come up with explaining intelligence without referring to brains," says Schoeneburg. But quantum processes in nature can be studied for insights to create AI with actual intelligence, known as Artificial General Intelligence (AGI). That may soon become a reality. As Google claims "quantum supremacy" in the developing field of quantum computing, some experts suggest the breakthrough could be a boon to the field of artificial intelligence (AI) and vice-versa. In a recent interview with MIT Technology Review, Google CEO Sundar Pichai gave credence to AI as it "can accelerate quantum computing and quantum computing can accelerate AI." See related article: How blockchain can save A.I. Deep learning methods used in AI currently have narrow use cases which rely on static pattern recognition, while a quantum-based system may be more suited for real life applications, says Schoeneburg. Nonetheless, other analysts are less bullish on the prospect of quantum computing applications in the short term. Schoeneburg explains how artificial intelligence should adapt to quantum technology and more. This Forkast.News exclusive brings together two leading voices in artificial intelligence today: Susan Oh, founder of Muckr AI and who also serves as cochair of AI, Blockchain for Impact for the United Nations General Assembly, sits down with the "Godfather of Alternative AI" Eberhard Schoeneburg and calls out "deep learning" as being too specific to be "intelligent." To understand the future of AI, one must understand the roots of its past. Susan Oh: I have the great honor of sitting down with Eberhard Schoeneburg, who is the godfather of Alternative AI. He's also the man that gave us [one of the first] chatbots, though he says that he thinks it's a gimmick and bullsh*t now. So Eberhard, thank you so much for sitting down with me. I think we both agree that AI has failed to live up to the hype and the promise. I don't think what people realize is that this is the fifth wave of AI, that people have been working on intelligent computing systems since the 1950s.

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