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How powerful a computer is required to simulate the human brain?

H+ magazine wrote an estimate in 2009 that seems broadly comparable to other things I've seen; they think the human brain is approximately 37 petaflops. A supercomputer larger than that 37 petaflop ...
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6 votes

How powerful a computer is required to simulate the human brain?

The human brain contains about 100 billion neurons ($10^{11}$) and about a hundred trillion synapses ($10^{14}$). Each neuron can fire about 100 times a second. If we model the brain as a simple ...
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Are there any artificial neuromorphic systems which can mimic the brain?

Vernor Vinge said that if we can scan a human brain and then simulate it: We can run it at 1000 times the speed. The brain will be able to do 1000 years of thinking in 1 year ect. At this stage in ...
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5 votes
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How does using ASIC for the acceleration of AI work?

Tensor operations The major work in most ML applications is simply a set of (very large) tensor operations e.g. matrix multiplication. You can do that easily in an ASIC, and all the other algorithms ...
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Is there research that employs realistic models of neurons?

It looks like you really have two questions here. I'll try to answer the first one, and you should think about making a separate question for the second. There is research into using simulated models ...
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3 votes

Is there research that employs realistic models of neurons?

It is true that the current Machine learning is based on treating neurons as a component in the whole complexity , mesh of neurons. The focus is more on the architecture rather than understanding or ...
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3 votes

How to model inhibitory synapses in the artificial neuron?

Principles of Computational Modelling in Neuroscience by David Sterratt, Bruce Graham, Andrew Gillies and David Willshaw discuss it in Chapter 7 (The synapse) and also in Chapter 8 (Simplified models ...
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3 votes

Are there any artificial neuromorphic systems which can mimic the brain?

Neuromorphic engineering offers various of ways of reproducing the brain’s processing ability. The recent technology can include IBM's multi-artificial-neuron computer, the world's first artificial ...
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3 votes

How does using ASIC for the acceleration of AI work?

I think the algorithm has changed minimally, but the necessary hardware has been trimmed to the bone. The number of gate transitions are reduced (perhaps float ops and precision too), as are the ...
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2 votes
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Is it possible to build an AGI with neural networks on neuromorphic chips?

No. The reasons include but are not limited to: lack of understanding of how the brain works current ANNs are mostly good at pattern recognition and generative tasks, but lack the capacity to ...
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2 votes

How powerful a computer is required to simulate the human brain?

Not just how much, but what kind of processing power : there're specially-crafted dedicated chips, and it has a practical applications, so it's not a lab-only project
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2 votes

How to model inhibitory synapses in the artificial neuron?

In biology, when the presynaptic releases a neurotransmitter (a positive amount of them, obviously), this neurotransmitter reaches the postsynaptic vesicles causing an excitatory (depolarization) or ...
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1 vote
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Is there any comprehensive book that reviews topics in the area of brain-inspired computing?

The most popular theoretical framework in use currently, in the neuromorphic (brain-inspired) computing community is the Neural Engineering Framework (NEF). Neural Engineering by Chris Eliasmith and ...
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What are examples of machine learning techniques inspired by neuroscience?

There is a category of neural networks that more closely attempt to mimic biological neural networks by incorporating also time (i.e. not all neurons fire at the same time). They are called spiking ...
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Are there examples of neural networks (used for control) implemented on a FPGA or on a neurochip?

Assumption In this answer it is assumed that with "neurochips" you mean chips made (using neuromorphic engineering) for neuromphic computing. Related example From what I currently understand from ...
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Could a large number of interconnected tiny turing-complete computer chips be patterned across a wafer to simulate a programmable neural network?

The building unit of a neural network is called perceptron. It cannot be represented by single transistor because it should hold arbitrary (float) value, over multiple computational iterations. (While ...
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