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To Root Artificial Intelligence Deeply in Basic Science for a New Generation of AI

arXiv.org Artificial Intelligence

One of the ambitions of artificial intelligence is to root artificial intelligence deeply in basic science while developing brain-inspired artificial intelligence platforms that will promote new scientific discoveries. The challenges are essential to push artificial intelligence theory and applied technologies research forward. This paper presents the grand challenges of artificial intelligence research for the next 20 years which include:~(i) to explore the working mechanism of the human brain on the basis of understanding brain science, neuroscience, cognitive science, psychology and data science; (ii) how is the electrical signal transmitted by the human brain? What is the coordination mechanism between brain neural electrical signals and human activities? (iii)~to root brain-computer interface~(BCI) and brain-muscle interface~(BMI) technologies deeply in science on human behaviour; (iv)~making research on knowledge-driven visual commonsense reasoning~(VCR), develop a new inference engine for cognitive network recognition~(CNR); (v)~to develop high-precision, multi-modal intelligent perceptrons; (vi)~investigating intelligent reasoning and fast decision-making systems based on knowledge graph~(KG). We believe that the frontier theory innovation of AI, knowledge-driven modeling methodologies for commonsense reasoning, revolutionary innovation and breakthroughs of the novel algorithms and new technologies in AI, and developing responsible AI should be the main research strategies of AI scientists in the future.


Scientists Used Dopamine to Seamlessly Merge Artificial and Biological Neurons

#artificialintelligence

In just half a decade, neuromorphic devices--or brain-inspired computing--already seem quaint. It sounds crazy, but a new study in Nature Materials shows that it's possible to get an artificial neuron to communicate directly with a biological one using not just electricity, but dopamine--a chemical the brain naturally uses to change how neural circuits behave, most known for signaling reward. Because these chemicals, known as "neurotransmitters," are how biological neurons functionally link up in the brain, the study is a dramatic demonstration that it's possible to connect artificial components with biological brain cells into a functional circuit. The team isn't the first to pursue hybrid neural circuits. Previously, a different team hooked up two silicon-based artificial neurons with a biological one into a circuit using electrical protocols alone. Although a powerful demonstration of hybrid computing, the study relied on only one-half of the brain's computational ability: electrical computing.


Where AI Meets Neuroscience: How The Human Brain Will Make Robots Smarter

International Business Times

Experts who want to build a better robot are calling for brain scientists and artificial intelligence programmers to work together, saying it will benefit both the advancement of AI technology and our understanding of the human mind. He compares the development of artificial intelligence to the invention of the airplane: Human beings could not replicate a bird wing with all its nuances, but they created a plane by using the scientific principles by which a bird flies and it worked just as well. Some programmers are trying to mimic the human brain but "I think that's pointless … to copy [and] paste nature," Kaufmann said. The relationship between the different fields could be a good thing for both. Kaufmann also describes a situation in which AI programmers could plug neuroscientists' experimental algorithms and ideas into an advanced artificial brain and see what comes out, with the information guiding their understanding and future efforts.


Where AI Meets Neuroscience: How The Human Brain Will Make Robots Smarter

#artificialintelligence

Experts who want to build a better robot are calling for brain scientists and artificial intelligence programmers to work together, saying it will benefit both the advancement of AI technology and our understanding of the human mind. It's not about making an exact replica of the human brain and placing it into a robot. Neuroscientist-turned-AI researcher Pascal Kaufmann told International Business Times that the focus should be on understanding how the brain works as a whole, rather than piece by piece, and then using the principles that govern it in an artificial mind. He compares the development of artificial intelligence to the invention of the airplane: Human beings could not replicate a bird wing with all its nuances, but they created a plane by using the scientific principles by which a bird flies and it worked just as well. Some programmers are trying to mimic the human brain but "I think that's pointless … to copy [and] paste nature," Kaufmann said.


Google RankBrain: What is the Artificial Intelligence Algorithm?

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Artificial intelligence is a phenomenon that the world of science and technology has been working on for many years. This phenomenon, which aims to make machines, computers or robots behave just like humans, is actually a technology not far from us. It is possible to see various examples of artificial intelligence around us. The closest example is Siri, the developer of Apple's Google algorithms. Samples can go on and on in this way.