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Is AI About to Outpace Human Intelligence?

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Considering the public awareness of artificial intelligence and the speed new breathtaking progress is taking place, it seems to be just a matter of time when AI will surpass the human intelligence level. And yes, the headlines AI is writing are stunning! While the victory of the IBM chess computer Deep Blue over the former chess world champion Garry Kasparov in 1996 (and again in 1997) was something like the eighth wonder of the world, the victory of Googles AlphaGo over Lee Sedol in 2016 in the strategy board game "Go" was seen as predictable for many. AI development has undergone a vast acceleration during the last decade. Assuming a stable growth rate of AI development: Is AI supposed to surpass the human intelligence level over the next few years?


More compute is not the solution for AGI

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There are different bets on how to achieve AGI (Artificial General Intelligence). It's nearly impossible to predict which path has the best probability of succeeding. The current most popular approach is to throw more {C G T}PUs at problems of intelligence. But let's look at this problem from a different angle: how evolution solves the problem of developing more sophisticated intelligent systems considering the limitations of the environment. Energy efficiency ratio -- how much energy an organism spends to gain energy versus how much energy it actually uses -- is an important factor in evolution.


Elon Musk's AI project to replicate the human brain receives $1billion from Microsoft

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Microsoft has invested $1 billion in the Elon Musk-founded artificial intelligence venture that plans to mimic the human brain using computers. OpenAI said the investment would go towards its efforts of building artificial general intelligence (AGI) that can rival and surpass the cognitive capabilities of humans. "The creation of AGI will be the most important technological development in human history, with the potential to shape the trajectory of humanity," said OpenAI CEO Sam Altman. "Our mission is to ensure that AGI technology benefits all of humanity, and we're working with Microsoft to build the supercomputing foundation on which we'll build AGI." The two firms will jointly build AI supercomputing technologies, which OpenAI plans to commercialise through Microsoft and its Azure cloud computing business.


Elon Musk's AI project to replicate the human brain receives $1billion from Microsoft

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Microsoft has invested $1 billion in the Elon Musk-founded artificial intelligence venture that plans to mimic the human brain using computers. OpenAI said the investment would go towards its efforts of building artificial general intelligence (AGI) that can rival and surpass the cognitive capabilities of humans. "The creation of AGI will be the most important technological development in human history, with the potential to shape the trajectory of humanity," said OpenAI CEO Sam Altman. "Our mission is to ensure that AGI technology benefits all of humanity, and we're working with Microsoft to build the supercomputing foundation on which we'll build AGI." The two firms will jointly build AI supercomputing technologies, which OpenAI plans to commercialise through Microsoft and its Azure cloud computing business.


What is the difference between Artificial Intelligence, Machine Learning, and Deep Learning?

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Are you confused by buzzwords like Artificial Intelligence (AI) and DeepLearning? Have you ever wondered if DeepLearning is better than Machine Learning (ML) or why AI and ML are used interchangeably? Keep reading to decode these tech-jargons. As technologies rise in the Hype-cycle towards their "Peak of Inflated Expectations", they tend to loose their precise technical definitions. This is because non-partitioners introduce a more colloquial interpretation, which can confuse the space.


Why We Should Be Careful When Developing AI

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Artificial intelligence offers a lot of advantages for organisations by creating better and more efficient organisations, improving customer services with conversational AI and reducing a wide variety of risks in different industries. Although we are only at the start of the AI revolution, we can already see that artificial intelligence will have a profound effect on our lives, both positively and negatively. The financial impact of AI on the global economy is estimated to reach US$15.7 trillion by 2030, with 40% of jobs expected to be lost due to artificial intelligence, and global venture capital investment in AI is growing to greater than US$27 billion in 2018. Such estimates of AI potential relate to a broad understanding of its nature and applicability. AI will eventually consist of entirely novel and unrecognisable forms of intelligence, and we can see the first signals of this in the rapid developments of AI. In 2017, Google's Deepmind developed AlphaGo Zero, an AI agent that learned the abstract strategy board game Go with a far more expansive range of moves than chess. Within three days, by playing thousands of games against itself, and without the requirement of large volumes of data (which would normally be required in developing AI), the AI agent beat the original AlphaGo, an algorithm that had beaten 18-time world champion Lee Sedol.


SingularityNET and Cisco aim to make humanlike 'artificial general intelligence' real - SiliconANGLE

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SingularityNET, a startup that bills itself as a "decentralized artificial intelligence" company, said today it's working with networking giant Cisco Systems Inc. on an ambitious project to create more advanced AI technologies that will soon be able to surpass humans in their ability to learn and perform new tasks. The partnership is a strong validation of SingularityNET's technologies, which include a blockchain-based, decentralized marketplace for AI algorithms, and various deep neural net models for computer vision and language understanding. Its biggest project, however, is a customized version of the OpenCog Advanced General Intelligence engine, an architecture for robot and virtual embodied cognition that defines a set of interacting components designed to give rise to "human-equivalent AGI." AGI is an emerging new field within AI, or some might even say a more superior form of it. Traditional AI generally refers to the ability of a machine to imitate human cognition, such as learning and problem-solving. But most AI models remain quite primitive, specialized on training machines at a single task, whether that's image recognition, playing chess or studying medical data.


AI warning: First creators of super-powered 'AGI' have opportunity for 'world domination'

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One expert has now said if one group were to get hold of AGI before others, it would be game over for the rest. Bryan Walsh, author of the book End Times which analyses the existential risks which humanity faces, said: "The first country or company to develop powerful AGI would be in a position to utterly dominate its competitors, even to the point of taking over the world if it so chooses. "This would be a winner-takes-all competition, since the first move the owner of a working AGI might be smart to make would be to sabotage any rival efforts to develop artificial general intelligence." Some of the world's leading experts have previously warned about the rise of AI and how it might impact humanity.


Microsoft is investing $1 billion in OpenAI to create brain-like machines

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The AI lab gets to throw Microsoft's supercomputing and cloud computing muscle at its bid to build artificial general intelligence (AGI). The news: Microsoft says OpenAI will help it jointly develop and train new AI technologies for its Azure cloud computing service. It will also work with it to develop new supercomputing hardware to try to achieve AGI--machines with the capacity to learn tasks the way human beings do. That's a holy grail of AI that still remains (and may always remain) out of reach. OpenAI's founders, which include Elon Musk and other tech leaders, reckon AGI could help solve longstanding challenges in areas that range from climate change to health care.


Is artificial general intelligence possible in our lifetime?

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While the power and capability of current artificial intelligence applications is certainly proving to be highly valuable, we're still far away from the vision of AI that science fiction and fantasy predicted. Currently, we only have narrow applications of AI, which focus on designing systems that perform specific tasks using well-defined boundaries. In fact, all current use cases, ranging from AI-powered chatbots to facial recognition to self-driving cars, are under the category of narrow AI applications. Rather than single-purpose systems that can do recognition, conversation or autonomous control, is it possible to design a generally intelligent system that can handle a wide range of cognitive tasks, while adapting without continuous retraining? Futurists and researchers are striving for much broader intelligent machines with artificial general intelligence (AGI).