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Squeezing Deep Learning Into Mobile Phones
This is a great deck on the things you can to to strip down trained models for running on mobile platforms.
neuralnetworks  frameworks  mobile  ai  ml  machine-learning  artificial-intelligence 
5 days ago by mcroydon
Building [a neural network using homomorphic encryption] - i am trask
<< With the approach above, you could train a regular, decrypted neural network for a while, encrypt it, send it to Party A with a public key (who trains it for a while on their own data... which remains in their possession). Then, you could get the network back, decrypt it, re-encrypt it with a different key and send it to Party B who does some training on their data. Since the network itself is what's enrypted, you get total control over the intelligence that you're capturing along the way. Party A and Party B would have no way of knowing that they each received the same network, and this all happens without them ever being able to see or use the network on their own data. You, the company, retain control over the IP in the neural network, and each user retains control over their own data. >>

I suspect that this isn't actually going to work but bookmarking for future digestion.
artificial-intelligence  neural-networks  cryptography 
6 days ago by absfac
Alan Jacobs | Analogy
For many years now Douglas Hofstadter, drawing on the work of the mathematician Stanislaw Ulam, has been convinced that the secret to creating artificial intelligence lies in teaching machines to recognize analogies. (Ulam says somewhere that it’s all about “as”: we see marks on a piece of wood pulp as a portrait of a beloved child, a cairn of stones as a monument to a dead chieftain.) Similar principles underlie the methods of Google Translate, which collects an enormous corpus of sentences and then tries to match your input to something in that corpus, and Apple’s “digital personal assistant,” Siri. Siri can’t parse what you say to her unless she can connect to the network, which undertakes a comparison of your utterance to other utterances on record. All this might be called brute-force analogizing, but it seems to me that my own understanding develops as I pursue the same method, though with far less force and (I hope) less brutishness.
douglas-hofstadter  alan-jacobs  artificial-intelligence  metaphor  language 
8 days ago by xianoforange
[1605.07133] Towards Multi-Agent Communication-Based Language Learning
We propose an interactive multimodal framework for language learning. Instead of being passively exposed to large amounts of natural text, our learners (implemented as feed-forward neural networks) engage in cooperative referential games starting from a tabula rasa setup, and thus develop their own language from the need to communicate in order to succeed at the game. Preliminary experiments provide promising results, but also suggest that it is important to ensure that agents trained in this way do not develop an adhoc communication code only effective for the game they are playing
artificial-intelligence  collective-intelligence  machine-learning  distributed-processing  to-write-about  philosophers'-conference 
18 days ago by Vaguery
[1606.00652] Death and Suicide in Universal Artificial Intelligence
Reinforcement learning (RL) is a general paradigm for studying intelligent behaviour, with applications ranging from artificial intelligence to psychology and economics. AIXI is a universal solution to the RL problem; it can learn any computable environment. A technical subtlety of AIXI is that it is defined using a mixture over semimeasures that need not sum to 1, rather than over proper probability measures. In this work we argue that the shortfall of a semimeasure can naturally be interpreted as the agent's estimate of the probability of its death. We formally define death for generally intelligent agents like AIXI, and prove a number of related theorems about their behaviour. Notable discoveries include that agent behaviour can change radically under positive linear transformations of the reward signal (from suicidal to dogmatically self-preserving), and that the agent's posterior belief that it will survive increases over time.
wtf  to-read  artificial-intelligence 
19 days ago by Vaguery

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