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 juggernaut


Juggernaut: Neural Networks in a web browser - AYLIEN

@machinelearnbot

Juggernaut is an experimental Neural Network, written in Rust. It is a feed-forward neural network that uses gradient descent to fit the model and train the network. Juggernaut enables us to build web applications that can train and evaluate a neural network model in the context of the web browser. This is done without having any servers or backends and without using Javascript to train the model. Juggernaut's developer-friendly API makes it easy to interact with.


[P] Introducing Juggernaut: a neural net that trains models from the browser with no JS, no servers • r/MachineLearning

@machinelearnbot

I'm not sure why that's interesting that it has "no JS". Wasm can't talk to the host environment (the browser) so it's still using Javascript to get data in or out - Wasm has an import/export syntax for calling out to JS. It's still just interpreted on the browser engine; and, since it's in such a rough state (the'MVP' release only having been finalized in March), it's actually un-JITted. No worries there (I wasn't sure whether you thought that might go away. Not in any future that I can foresee).


Silicon Valley's 'smartest guy' on deep learning and sustainability

#artificialintelligence

Steve Jurvetson has been referred to as "the smartest guy in the room," "the smartest person in Silicon Valley" and a "brainiac," among other laudatory monikers attesting to his prodigious intellect. The Internet is chock full of videos of lectures by and interviews with the venture capitalist, a partner at Draper Fisher Jurvetson. They span such topics as rockets and space, Moore's Law, machine learning, synthetic biology, technological innovation, the rich-poor gap and "the democratization of matter." That begins to reflect the breadth of Jurvetson's interests, and also his investments. Over the years, they have included companies that became transformational, from Hotmail (the Web as a platform) to Tesla (automaker as energy company).