11
votes
Accepted
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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6
votes
Accepted
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
Accepted
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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4
votes
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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4
votes
Accepted
Is there research that employs realistic models of neurons?
State of Rosehip Research
The Rosehip neuron is an important discovery, with vast implications to AI and its relationship to the dominant intelligence on earth for at least the last 50,000 years. ...
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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
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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
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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
Accepted
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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2
votes
How to model inhibitory synapses in the artificial neuron?
The Degree to Which Inhibition is in Common Use
What could loosely be considered inhibitory effect occurs in MLPs (multilayer perceptrons) as they are normally designed and implemented already.
The ...
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1
vote
Accepted
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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1
vote
Accepted
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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1
vote
Accepted
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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1
vote
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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