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Robert Ormandi proslijedio/la je Tweet
Don't do that! instead be the coworker that everyone loves.
replace: import numpy as np
with: import jax.numpy as np
The need for speed. #jax#xla#tpu https://github.com/google/jax https://twitter.com/Sci_j_my/status/1224172889039147009 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Robert Ormandi proslijedio/la je Tweet
Teachers make a differencehttps://twitter.com/erichorvitz/status/1223487236630433792 …
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Robert Ormandi proslijedio/la je Tweet
Check out Meena, a new state-of-the-art open-domain conversational agent, released along with a new evaluation metric, the Sensibleness and Specificity Average, which captures basic, but important attributes for normal conversation. Learn more below!https://goo.gle/36zB8Wj
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Robert Ormandi proslijedio/la je Tweet
New paper: Towards a Human-like Open-Domain Chatbot. Key takeaways: 1. "Perplexity is all a chatbot needs" ;) 2. We're getting closer to a high-quality chatbot that can chat about anything Paper: https://arxiv.org/abs/2001.09977 Blog: https://ai.googleblog.com/2020/01/towards-conversational-agent-that-can.html …pic.twitter.com/5SOBa58qx3
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Robert Ormandi 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 -
Robert Ormandi proslijedio/la je Tweet
Had a great time talking about T5 and chatting with students
@NYUDataScience yesterday! I'm waiting to put slides online until I finish annotating them; in the meantime here is a recording of the same talk from when I gave it@allen_ai earlier this month: https://www.youtube.com/watch?v=eKqWC577WlI …https://twitter.com/sleepinyourhat/status/1222553470827405312 …
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Robert Ormandi proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Robert Ormandi proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Cool interview! Congratulations,
@Azaliamirhhttps://towardsdatascience.com/this-google-scientist-teaches-ai-to-build-better-ai-8a8fcf6ea6b8 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Robert Ormandi proslijedio/la je Tweet
New lecture series
We've teamed up with @ai_ucl to bring you the#UCLxDeepMind Deep Learning Lecture Series: 12 lectures covering a range of topics in Deep Learning - all led by DeepMind researchers, all free, and all open to everyone. Info & tickets:https://www.eventbrite.co.uk/o/ucl-x-deepmind-deep-learning-lecture-series-general-29078980901 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Robert Ormandi proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Robert Ormandi proslijedio/la je Tweet
Excited to share our latest work on generalization in DL https://arxiv.org/abs/1912.00528 w/ Niladri Chatterji &
@bneyshabur We study the phenomenon that some modules of DNNs are more critical than others: rewinding their values back to initialization, strongly harms performance.(1/3)Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Robert Ormandi proslijedio/la je Tweet
Excited to give a talk
@nvidia GTC. Title: AI-GAs: AI-Generating Algorithms, an Alternate Paradigm for Producing General Artificial Intelligence. March 22-26, 2020. AI-GA quick summary https://slideslive.com/38921882/metalearning-1?t=2685 …, paper: https://arxiv.org/abs/1905.10985 . Affiliations out of date.@NvidiaAIpic.twitter.com/WmOzWrvjpe
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Robert Ormandi proslijedio/la je Tweet
There's great potential in the use of machine learning for a wide variety of weather and climate problems. Here's one example, predicting precipitation at much finer spatial granularity than traditional physics-based models.https://twitter.com/GoogleAI/status/1216795168797409280 …
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Robert Ormandi proslijedio/la je Tweet
Massively parallel MCMC with JAX https://rlouf.github.io/post/jax-random-walk-metropolis/ …https://twitter.com/remilouf/status/1215740986195922944 …
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Robert Ormandi proslijedio/la je Tweet
I think it is clear that no AI we have at present can create life supporting systems on Mars, nor create new knowledge about cancer or black holes. Much work lies ahead and everyone seriously working on AI knows this fact. Let’s get down to work! Time is ticking.https://twitter.com/yudapearl/status/1215174538087948288 …
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Robert Ormandi proslijedio/la je Tweet
What I did over my winter break! It gives me great pleasure to share this summary of some of our work in 2019, on behalf of all my colleagues at
@GoogleAI &@GoogleHealth.https://ai.googleblog.com/2020/01/google-research-looking-back-at-2019.html …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Robert Ormandi proslijedio/la je Tweet
In collaboration with
@GoogleHealth, we've developed an AI model that can exceed human performance at detecting breast cancer in screening mammograms.https://twitter.com/GoogleHealth/status/1212435097091289088 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Robert Ormandi proslijedio/la je Tweet
Yes! I got my first big conference paper accepted at ICLR, with spotlight! We improve the previous DeepMind paper "NALU" by 3x-20x. – This took 7-8 months, working without any funding as an independent researcher. Paper: https://openreview.net/forum?id=H1gNOeHKPS … Code: https://github.com/AndreasMadsen/stable-nalu …pic.twitter.com/7tBivzbyir
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Robert Ormandi proslijedio/la je Tweet
ALBERT is a new, open-source architecture for natural language processing that achieves state-of-the-art performance on multiple benchmarks with ~30% fewer parameters than
#BERT. Learn all about it below:https://goo.gle/2QcWOBsHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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I benchmarked the Random Walk Metropolis algorithm with Numpy, JAX and Tensorflow Probability.