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Adel Iarullin proslijedio/la je Tweet
This is what Tesla Autopilot sees using neural networks that take 70,000 GPU hours to train and output 1,000 tensors (predictions) at each timestep. Source: http://www.tesla.com/autopilotAI pic.twitter.com/eBzvnLJtRn
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Adel Iarullin proslijedio/la je Tweet
‘Mapping the future’: our recent paper, which provides insight into previously unexplained elements of dopamine-based learning in the brain, is on the front cover of
@Nature!
Read the blog: https://deepmind.com/blog/article/Dopamine-and-temporal-difference-learning-A-fruitful-relationship-between-neuroscience-and-AI …https://twitter.com/nature/status/1222604066796331008 …
0:07Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Adel Iarullin proslijedio/la je Tweet
Given the smoothness of videos, can we learn models more efficiently than with
#backprop? We present Sideways - a step towards a high-throughput, approximate backprop that considers the one-way direction of time and pipelines forward and backward passes. https://arxiv.org/pdf/2001.06232.pdf …pic.twitter.com/evbwULE0s2Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Adel Iarullin proslijedio/la je Tweet
torchvision v0.5: quantization, production - ResNets, MobileNet, ShuffleNet, GoogleNet and InceptionV3 now have quantized counterparts with pre-trained models, scripts for quantization-aware training. - All models are TorchScript-ready and ONNX-readyhttps://github.com/pytorch/vision/releases/tag/v0.5.0 …
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Adel Iarullin proslijedio/la je Tweet
Learn how to automate most of the infrastructure work required to deploy PyTorch models in production using Cortex, an open source tool for deploying models as APIs on AWS. https://medium.com/pytorch/how-to-build-production-software-with-pytorch-9a8725382f2a …pic.twitter.com/Zz6uLqH5CU
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Adel Iarullin proslijedio/la je Tweet
TorchIO from
@fepegar_ brings tools for - patch-based training and inference of 3D medical images - multiple transforms for data augmentation used in medical imaging He's looking for contributions and feedback https://github.com/fepegar/torchio pic.twitter.com/KohUPo8duWHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Adel Iarullin proslijedio/la je Tweet
A Nature paper demonstrates an autonomous bicycle powered by a new type of artificial intelligence chip, which combines brain-inspired and computer-science-based approaches to AI. Read the paper: https://go.nature.com/2YwC7m1 pic.twitter.com/0QSZOGub9c
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Adel Iarullin proslijedio/la je Tweet
Can we learn meaningful behaviors and their dynamics without any rewards? Yes! And we can solve new tasks zero-shot by using MPC to compose the learned skills. Dynamics-Aware Discovery of Skills (DADS):http://sites.google.com/view/dads-skill w/
@archit_sharma97, Shane Gu,@svlevine,@Vikashpluspic.twitter.com/EdwrGco30wPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Adel Iarullin proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Adel Iarullin proslijedio/la je Tweet
Пишут, что Лужков умер в Мюнхене. В уникальные времена живём: патриоты умирают заграницей, а иностранные агенты в Саратове
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Adel Iarullin proslijedio/la je Tweet
Pyro 1.0 is released: stable APIs, a jit-compatible Predictive helper, new normalizing flows, parallel-scan GPs and state space models, more-automatic AutoGuides, an OED tutorial, FoldedDistribution, and PyroModule[-] to make your nn.Modules Bayesianhttps://github.com/pyro-ppl/pyro/releases/tag/1.0.0 …
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Adel Iarullin proslijedio/la je Tweet
M-theory is a promising model that unifies quantum mechanics and gravitation, but is difficult to solve analytically. New work published in
#JHEP demonstrates how solutions can be found for this model through novel applications of TensorFlow. Learn more ↓https://goo.gle/373Rp7jHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Adel Iarullin proslijedio/la je Tweet
Interested in robotics research? Tune into the
@Khipu_AI livestream now (GMT -3, PST 9AM) to watch a talk by Research Scientist@chelseabfinn on robotics and continuous control!#Khipu2019 http://tv.vera.com.uy/evento/53626 pic.twitter.com/ccINADl01V
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Adel Iarullin proslijedio/la je Tweet
Our
#AlphaStar research features on the cover of@Nature this week! Read the paper here: http://go.nature.com/2JE3lm1 https://twitter.com/nature/status/1194699983922049025 …
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Adel Iarullin proslijedio/la je Tweet
We are pleased to announce the release of source code and checkpoints for MobileNetV3 and the Pixel 4 Edge TPU-optimized counterpart, MobileNetEdgeTPU, advancing state-of-the-art for computer vision tasks on compute and power-limited devices. Learn more ↓https://goo.gle/2KkCcot
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Adel Iarullin proslijedio/la je Tweet
Oldies but goldies: L. Kantorovich, On translocation of masses, 1942. "Nobel" Prize in economic 75 for optimal transport as a convex linear program. Makes the transport problem formulated by Gaspard Monge tractable by allowing splitting of mass. https://en.wikipedia.org/wiki/Leonid_Kantorovich …pic.twitter.com/6twuZto38Q
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Adel Iarullin proslijedio/la je Tweet
We’re pleased to release the Visual Task Adaptation Benchmark (VTAB), a diverse, realistic, and challenging protocol to measure progress towards universal visual representations. Learn all about it below.https://goo.gle/2Noutb9
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Adel Iarullin proslijedio/la je Tweet
We are excited to announce the results of our quantum supremacy experiment. Using a fully programmable, 54-qubit processor, called “Sycamore”, we have performed a calculation in 200 seconds that’s infeasible on the fastest supercomputers. Learn more ↓https://goo.gle/2Bzp7TB
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Adel Iarullin proslijedio/la je Tweet
Neural architecture evolution, a new method for automatically finding optimal neural networks for video understanding, has yielded architectures that outperform existing hand-made models and show improvements to network runtime of 10-100x. Learn more ↓https://goo.gle/32siUVa
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Adel Iarullin proslijedio/la je Tweet
Want to learn deep RL? My deep RL course now has a permanent course number (CS285) and is being offered this semester: http://rail.eecs.berkeley.edu/deeprlcourse/ Lecture videos here (so far, we've gotten through most of model-free RL, model-based RL coming up next):https://www.youtube.com/playlist?list=PLkFD6_40KJIwhWJpGazJ9VSj9CFMkb79A …
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