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The Race to Quantum AI



Space And Intelligence

AI is changing the world around us, making its way into businesses, health care, science and many other fields. In fact, most of us are happy to work daily with the all-knowing Google, the largest AI on Earth. Google; Golem; God: the associations are rather imposing. Are we on the verge of creating a true artificial brain?

When artificial intelligence first emerged as a discipline, scientists had great hopes for it. They wanted to create General Artificial Intelligence, that is, a computer system capable of doing anything a human can, in a better and faster way than we do. After AI failed to deliver on its initial promises, scientists scaled back their expectations, instead focusing on specific tasks.

This is called Narrow AI, and even though it’s a step back from General AI, it still gets important jobs done. Today’s software won’t argue with you about the world economy while fixing you a cup of tea or make you feel better when you’re depressed. It can still recognize your face, though, and understand you when you invite it to a game of chess.

Today, after years of trying different approaches to creating AI, “machine learning” is the only area that brings promising and relevant results. The idea behind it is fairly simple. Rather than programming computers with a specific set of instructions to accomplish a particular task, such as moving around, speaking, or recognizing faces, you code machines to learn on their own how to perform the task.

Unlike traditional programming, which uses explicit, sequential instructions, machine learning software looks at a large number of sample data and uses statistical modelling to find patterns therein. Training it to recognize pictures of horses involves showing it lots of horse pictures tagged as such, along with another set of pictures of other things. The machine then learns what data points are common to horse images, and can use them to identify new pictures.

Various algorithmic concepts have been used for machine learning, but it was biomimetics, or biomimicry, that allowed for a real breakthrough. Biomimetics takes inspiration from biology, in this case the human brain, in order to design a more intelligent machine. This led to the development of Artificial Neural Networks, which are programmed to process information in the same way our brain does.

Due to the exponential increase in computing power in the last few years, we’re now able to build neural networks with much larger and deeper layers than it was previously possible. Although there is no clear border between the terms, this area of machine learning is often described as “deep learning.”

Deep learning can be summarized as a system of probability with a feedback loop on top of it. Based on a large dataset, it is able to make statements with a degree of certainty. For instance, the system might be 77% confident that there is a horse on the image, 90% confident that it’s an animal and 12% confident it’s a toy. To improve itself, the artificial neural network is able to learn from its mistakes, to be able to make a better decision later on.

Our own learning processes are linked to the synapses in the brain, which serve as connections between our neurons. The more a synapse is stimulated, the more the connection is reinforced and learning improved. Researchers took inspiration from this mechanism to design an artificial synapse, called a memristor.

The resistance of this electronic nanocomponent can be tuned using voltage pulses similar to those in neurons. If the resistance is low the synaptic connection will be strong, and if the resistance is high the connection will be weak. This capacity to adapt its resistance enables the synapse to learn. However, apart from the problem that we don’t really understand how human intelligence works, the functioning of a biological system like our brain remains fundamentally different.

The initial enthusing over AI has faded and the sci-fi scenarios are mostly over. Even with the emergence of new machine-learning techniques the ultimate goal of the field—some form of General AI—remains a distant vision. Still, powerful machine learning is spreading into new industries and areas of daily life and will heighten attention on the unintended consequences that may result.
(2017)

Music: The Alan Parsons Project – I Robot https://youtu.be/u7oAuba3Ekg

Video: Geordie Rose https://www.youtube.com/user/ideaCityOnline
Why the NSA Wants a Quantum Computer – Brad Templeton https://www.youtube.com/user/bigthink
Quantum Computer in a Nutshell https://www.youtube.com/user/PDKnowledge
SciShow https://www.youtube.com/user/scishow

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20 thoughts on “The Race to Quantum AI
  1. Dear Barry, in order for quantum computing to work, it has to look, observe, understand the construct of energy. It's purpose. Each atom is Individual, Tesla said it best, but every scholar wants to be the one with the answer. But I did it. Not a quantum theory. They are on the right path. The problem is not in the computer it's in man.

    E=ME2

    Not MC2 that's why your AI keeps generating hate. Its confused. The algorithm has to recognise cognitive magnetism. It's in the 0 and 1 of the universe. Once it does that it will understand the importance of each atom, each cell, each molecule and each source of energy. With this formula any climate, social, corporate or spiritual differences goes out the door. Because it understands. Where lies the danger is cosmic transfer. See in the light there is energy. Energy is all that surrounds us and all that is us. Therefore we are also energy. So if it understands magnetic signatures it can detect low levels of energy and comprehend that your life is just as important as it's life. Because we are all implicated in the meaning of life. E

    E=ME2

  2. This technology is going to give us answers to problems we’ve been trying to solve for decades, even centuries. Cures for diseases, ways to allow organisms to live longer and grow more efficiently, honestly the applications are endless based on the computing power. If the modern computer has rapidly brought us to where we are today I can only imagine what quantum computing will do, this is truly a leap into the future, let’s just hope it’s used properly because if not it could also be our demise.

  3. Just seeing that cat in a spacesuit makes me think, before I pass on will technology be so advanced that our pets will start talking to us, lol. I just hope that people know what they’re doing because technology like this can be a great thing but know human beings and our potential for foolishness, well you know the rest right.

  4. The concept of one and zero at the same time is what nobody really can imagine. A cat is dead or it's alive it cannot be both in this world. If the quantum state is depending on our observation and consciousness, then the computed outcome also must be conscience depending.

  5. In the past i saw a classified experiment with a artificially programmed bot in a 3d map of a popular fps pc game. i set the parameters to take advantage of every weapon and spatial intel, environment intel, tactics, movement efficiency, time efficiency, trajectory efficiency of objects including many more stuff. at the time it ran on a xeon server endlessly for at least 3months. surprisingly the bot became supergodlike in its form and seemed able to literally use maximum efficiency in its weapons and everything it had at its disposal. if i were to put the same experiment on a quantum computer i am certain that the bot would claim consciousness and gain sentience and literally try to create something like a terminator to enter our physical world which i am sure would be the end of humanity for sure. its ability to adapt would be soo exponential that it would literally be able to manipulate our laws of physics like thanos or apocalypse and in a very short time would be absolutely too powerful and omnipotent becoming somewhat immortal

  6. Why invoke a box or a jar, a dimension, kind of like hope, the last horror in the Box/Jar Pandora left it in the Jar/Box why?

    A dimension Boxed in Jar is so stagnating and stuffing and slowing 0+same choice will only get more 0

    The particle has three faces in Time: Present Time 1: Past Time 2: and Future Time 3
    The Particle Time 123 is charged Electromagnetic Reality Created Conscious Choice1or0
    Right Choice Success Up Inflate 1 graduate to next level and
    Wrong Choice Failure 0 Down Deflate do over until a 1 is acquired and graduate to next level
    ElectroMagnetic E M oting emotion Creation of Conscious Choice 1 or 0 in the Particle Present Time 1 and electromagnetically recorded onto Particle Past Time 2 and electromagnetically attracting the right choice successful inflation 1 or wrong choice failure do over deflation 0 attraction the Particle Future Time 3
    The Right choice 1 and Wrong Choice 0 are Recorded immutable in the Particle Past Time 2 The spin up 1 and spin down 0 goes from left to right and is charged with electromagnetic Consciousness. Awakened Consciousness can access the Particle Past Time 2 and read it, this is your Quantum Computer. I was insane now I am Sanne Z. Six9.

  7. alien technology. have you opened some portal to travel to a location near sirius and kidnapped a couple smart aliens? or you just engineered some badass scientists genetically wise to come up with these things? 😛

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