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Questions tagged [hardware]

For questions involving, but not exclusively about, hardware. (Please use the "hardware-evaluation" for questions exclusively about analysis of hardware components.)

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0answers
11 views

Edge AI device to run inference

I'm trying to figure out what's the best way to get a trained model that does facial detection to run on a camera that's connected to a computer and perform inference. Since I don't need the device ...
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0answers
55 views

What does the CM1K chip (which uses ZISC) exactly do?

There's been a lot of apocalyptic hype (on the media) about CM1K and other similar technologies. Elon Musk has voiced fears about it taking over the world, which unfortunately are not unfounded. My ...
2
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1answer
59 views

What are the technological challenges that AI faces today?

I am writing a field report on AI. I was wondering what the technological challenges are that AI is facing today. I have written the following so far. AI needs common sense like a human common AI ...
2
votes
2answers
111 views

Does fp32 & fp64 performance of GPU affect deep learning model training?

I am purchasing Titan RTX GPU. Everything seems fine with that except float32 & float64 performance which seems lower vis-a-vis some of its counter parts. I wanted to understand if single ...
2
votes
1answer
27 views

What are the aspects that most impact on the inference time for neural networks in embedded systems?

I work with neural networks for real-time image processing on embedded softwares and I tested different architectures (Googlenet, Mobilenet, Resnet, custom networks...) and different hardware ...
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2answers
64 views

Tips for keeping the distribution of weights normal

I am working on a project where the Neural Network weights must be quantized on 8 or 16 bits for an embedded platform, thus I will lose some precision. Since our platform does not have floating point ...
0
votes
1answer
23 views

Does software remain even when hardware is demolished?

For example, if I constructed a neural network and the computer running it where to be demolished, is the information/program of the neural network still an existent entity within or outside the ...
1
vote
1answer
28 views

Are commercially available neural ICs digital?

Apparently, one can buy a special-purpose integrated circuit (an IC like this one, for instance) to host a convolutional neural network. QUESTION Is such a circuit digital? Except for digital random-...
1
vote
0answers
114 views

Is PCIe the bottleneck in a deep learning GPU system, so it makes sense to choose Nvidia NV-Link over more Tesla V100 graphics cards?

I'm considering a GPU system for deep learning applications, mainly for training models with large datasets. So I'm not sure whether it makes sense to choose Nvidia NV-Link over more Tesla V100 ...
5
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1answer
84 views

what other computer science algorithms could use tensor specific hardware?

It seems like only neural networks need tensor hardware? Are there any other artificial intelligence algorithms that could benefit from many tensor calculations in parallel? Are there any other ...
1
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2answers
111 views

Are artificial networks based on the perceptron design inherently limiting?

At the time when the basic building blocks of machine learning (the perceptron layer and the convolution kernel) were invented, the model of the neuron in the brain taught at the university level was ...
14
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7answers
871 views

If digital values are mere estimates, why not return to analog for AI?

The impetus behind the twentieth century transition from analog to digital circuitry was driven by the desire for greater accuracy and lower noise. Now we are developing software where results are ...
-1
votes
1answer
66 views

GPU to train object recognition neural networks

I'm starting to play around with python neural networks, mainly for object recognition like this one: https://github.com/huangshiyu13/RPNplus. I plan to train more networks with more kinds of objects. ...
1
vote
1answer
1k views

Thoughts on Apple Mac Pro vs GCP/AWS for Deep Learning?

I've been oogling the Mac Pro from Apple with loaded specs. Check it here if unfamiliar. I'm curious to hear anyone's thoughts of the computer for deep learning/machine learning applications vs ...
5
votes
3answers
3k views

CPU preferences and specifications for a multi GPU deep-learning setup

For a multi (4xTitan Xp) GPU deep learning setup what kind of CPU is preferable? Specifically I am comparing: Intel Xeon E5-2620 with 8x2.1GHz 20MB L3 Cache Intel Xeon E5-1620K with 4x3.5Ghz 10MB L3 ...
4
votes
4answers
108 views

Could a large number of interconnected tiny turing-complete computer chips be patterned across a wafer to simulate a programmable neural network?

The Intel 8080 had 4500 transistors and ran at 2-3.125 MHz. By comparison, the 18-core Xeon Haswell-E5 han 5,560,000,000 transistors and can run at 2 GHz. Would it be possible or prudent to simulate a ...
2
votes
1answer
147 views

Using NVIDIA VOLTA V with Mac or Windows externally

I have a Macbook Air and Asus ROG 702 with a built in GeForce 1070 GPU. I'm considering getting an NVIDIA Volta for AI applications (tensorflow / pytorch) to run on either the mac or windows. Would ...
3
votes
3answers
133 views

Hardware Implementation of ANN

I want to know what is the difference between a normal chip or processor and a processor designed for AI?
7
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1answer
900 views

Are more than 8 high performance Nvidia GPUs practical for deep learning applications?

I was prompted towards this question while trying to find server racks and motherboards which are specialized towards artificial intelligence. Naturally I went to the SuperMicro website. There the ...
2
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1answer
39 views

Hardware immutability and sentience

Hardware comes in two forms, basically: immutable, such as RAM, and mutable, such as FPGAs. In animals, neurological connections gain in strength by changing the physical structure of the brain. This ...
8
votes
4answers
461 views

Arbitrarily big neural network

If neurons and synapses can be implemented using transistors, what prevents us from creating arbitrarily large neural networks using the same methods with which GPUs are made? In essence, we have ...
6
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3answers
2k views

How does using ASIC for the acceleration of AI work?

We can read on Wikipedia page that Google built a custom ASIC chip for machine learning and tailored for TensorFlow which helps to accelerate AI. Since ASIC chips are specially customized for one ...
5
votes
3answers
2k views

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

How much processing power is needed to emulate the human brain? More specifically, the neural simulation, such as communication between the neurons and processing certain data in real-time. I ...
4
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1answer
100 views

Are there any microchips specifically designed to run ANNs?

I'm interested in hardware implementation of ANNs (artificial neural networks). Are there any popular existing technology implementations in form of microchips which are purpose designed to run ...