tmfi

25 ms·

241.
An Inferential Perspective on Federated Learning(blog.ml.cmu.edu)
2 points by tmfi 6y ago|0 comments
242.
Artificial Neural Nets Finally Yield Clues to How Brains Learn(quantamagazine.org)
2 points by tmfi 6y ago|0 comments
243.
Rearranging the Visual World(ai.googleblog.com)
2 points by tmfi 6y ago|0 comments
244.
Coding for Qubits: How to Program in Quantum Computer Assembly Language(spectrum.ieee.org)
1 points by tmfi 6y ago|0 comments
245.
Getting Started with Distributed Machine Learning with PyTorch and Ray(medium.com)
3 points by tmfi 6y ago|0 comments
246.
Introducing the AI chip leading the world in precision scaling(ibm.com)
1 points by tmfi 6y ago|0 comments
247.
Scala 3.0.0-RC1 – first release candidate is here(dotty.epfl.ch)
28 points by tmfi 6y ago|7 comments
248.
Mastering Atari with Discrete World Models(arxiv.org)
2 points by tmfi 6y ago|0 comments
249.
A New Artificial Intelligence Makes Mistakes–On Purpose(wired.com)
2 points by tmfi 6y ago|0 comments
250.
Jim Keller on the Lex Fridman Podcast [video](youtube.com)
19 points by tmfi 6y ago|1 comments
251.
Homogeneity vs. heterogeneity in AI takeoff scenarios(lesswrong.com)
1 points by tmfi 6y ago|0 comments
252.
A Guide to MIRI’s Research(intelligence.org)
1 points by tmfi 6y ago|0 comments
253.
How to Get into Reinforcement Learning(infoworld.com)
2 points by tmfi 6y ago|0 comments
254.
Electronics not included: Walking quadruped controlled and powered by air(ucsdnews.ucsd.edu)
1 points by tmfi 6y ago|0 comments
255.
Alchemy: A structured task distribution for meta-reinforcement learning(deepmind.com)
1 points by tmfi 6y ago|0 comments
256.
Evolving Reinforcement Learning Algorithms(arxiv.org)
1 points by tmfi 6y ago|0 comments
257.
Reinforcement Learning with Recurrent World Models and Artificial Curiosity(people.idsia.ch)
1 points by tmfi 6y ago|0 comments
258.
Designer-Centered Reinforcement Learning(microsoft.com)
1 points by tmfi 6y ago|0 comments
259.
Machines Already Took Our Jobs(computerhistory.org)
61 points by tmfi 6y ago|99 comments
260.
Growing generative adversarial networks, layer by layer(amazon.science)
3 points by tmfi 6y ago|0 comments
261.
SuperSpike: Supervised learning in multi-layer spiking neural networks (2017)(arxiv.org)
1 points by tmfi 6y ago|0 comments
262.
Towards an integration of deep learning and neuroscience (2016)(biorxiv.org)
1 points by tmfi 6y ago|0 comments
263.
Performing Calculations on a GPU(developer.apple.com)
1 points by tmfi 6y ago|0 comments
264.
An Even Easier Introduction to CUDA(developer.nvidia.com)
2 points by tmfi 6y ago|0 comments
265.
Patterns, predictions, and actions: A story about machine learning [pdf](mlstory.org)
2 points by tmfi 6y ago|0 comments
266.
A connectome and analysis of the adult Drosophila central brain (2020)(elifesciences.org)
1 points by tmfi 6y ago|0 comments
267.
How to Understand ML Papers Quickly(blog.evjang.com)
2 points by tmfi 6y ago|0 comments
268.
by tmfi 6y ago
The author is using the term AGI to refer to human intelligence to make their point that "we have to stop romanticizing or fear-mongering about the pointless concept of a human-like intelligence being produced by software."
269.
by tmfi 6y ago
The author, confusingly, is using the term AGI to refer to human intelligence. Main points from the article: "Artificial general intelligence is something we have plenty of here on Earth, most of it goes to waste, so I'm not sure
270.
Artificial general intelligence is here, and it's useless (2019)(cerebralab.com)
1 points by tmfi 6y ago|3 comments

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