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Research Associate in Reinforcement Learning

On Aug 20, 2019
@NandoDF shared
RT @shimon8282: Can't decide between industry and academia? Apply for this unique joint postdoc position at Oxford and MSR Cambridge, working with @katjahofmann and me. https://t.co/9l0FPxDGrB https://t.co/2rY93a5g2k
Open

142292

www.cs.ox.ac.uk
On Aug 20, 2019
@NandoDF shared
RT @shimon8282: Can't decide between industry and academia? Apply for this unique joint postdoc position at Oxford and MSR Cambridge, working with @katjahofmann and me. https://t.co/9l0FPxDGrB https://t.co/2rY93a5g2k
Open


On Aug 22, 2019
@mat_kelcey shared
RT @awjuliani: If you are a recent PhD graduate and want to work on DeepRL @unity3d -> https://t.co/LWgAieGYiO
Open

Deep Reinforcement Learning Researcher (PhD.) [email protected]

We are looking for an exceptional researcher to join Unity’s ML-Agents team within [email protected] The ML-Agents team is an applied research team focused on: 1.

On Aug 17, 2019
@Miles_Brundage shared
RT @rgblong: At @AIImpacts, I'm compiling a list of published arguments that current methods in AI will not lead to human-level intelligence. Featuring @GaryMarcus, @rodneyabrooks, @yudapearl, and others. Who else should be in there? https://t.co/o2CVSCVH5o
Open

Evidence against current methods leading to human level artificial intelligence

This is a list of published arguments that we know of that current methods in artificial intelligence will not lead to human-level AI. Details Clarifications We take 'current methods' to ...

On Aug 20, 2019
@NandoDF shared
RT @iamtrask: This is one of the most astounding demos of Deep Learning I've ever seen! Huge opportunity for new open-source Web Development tools based on merely 200 lines of Keras code. Really opens up the imagination for what can be done with #DeepLearning https://t.co/5hrIyWlIlq
Open

Turning Design Mockups Into Code With Deep Learning

FloydHub - Deep Learning Platform - Cloud GPU

On Aug 23, 2019
@kchonyc shared
RT @sleepinyourhat: Excited for this term's NLP speaker lineup at @NYUDataScience. If you're based at NYU or a nearby university/lab, take a look: https://t.co/y2CCEJNVEZ https://t.co/S0BpYWpJgO
Open

NLP and Text-as-Data Speaker Series

The NYU NLP and Text-as-Data Speaker Series takes place on Thursdays from 4 – 5:30 pm at the Center for Data Science, 60 Fifth Avenue (7th floor common area).  Expanding from its original ...

On Aug 23, 2019
@DeepMindAI shared
In collaboration w/ @ox_ultracold & @FelixHill84, we developed machine learning techniques to optimise the production of a Bose-Einstein condensate, a quantum-mechanical state of matter that can be used to test predictions of theories of many-body physics https://t.co/wXFI46TJT9
Open

Applying machine learning optimization methods to the production of a quantum gas

We apply three machine learning strategies to optimize the atomic cooling processes utilized in the production of a Bose-Einstein condensate (BEC). For the first time, we optimize both ...

On Aug 21, 2019
@karpathy shared
Also interesting from Hot Chips: Gaudi from Habana: https://t.co/YGYncwxnbc white paper: https://t.co/8cgHxk3dtp and a news article: https://t.co/cWcjIfZh91 "pure AI" GPU-like chip, most interestingly using open-standard Ethernet for scaling & RoCE. Look fwd to more benchmarks https://t.co/o1GuFqJbDf
Open

Click here to read the article

Gaudi™ Training Platform White Paper June 2019 Ver 1.0 2019 Habana Labs Ltd. | www.habana.ai | Ver 1.0 | June 2019 2019 Habana Labs Ltd. | www.habana.ai | Ver 1.0 | June 2019 1 Gaudi™ ...

On Aug 20, 2019
@demishassabis shared
RT @DeepMindAI: We're open sourcing Spriteworld, a flexible, procedural reinforcement learning environment: https://t.co/MkuXLYlhMq Spriteworld is a 2-dimensional arena with movable objects, and is particularly well-suited for small-scale experiments with limited computational resources. https://t.co/Nw6Zfgg4ht
Open

Spriteworld: A Flexible, Configurable Reinforcement Learning Environment

Spriteworld: a flexible, configurable python-based reinforcement learning environment - deepmind/spriteworld

On Aug 17, 2019
@mxlearn shared
[N] Google files patent “Deep Reinforcement Learning for Robotic Manipulation” https://t.co/rKjy1frcMf
Open
On Aug 21, 2019
@kchonyc shared
RT @kjgeras: Artie Shen (@ArtieShen) just got his first first author paper "Globally-Aware Multiple Instance Classifier for Breast Cancer Screening" (https://t.co/P5CfrLuL4x) accepted at MLMI (https://t.co/QU3vatm31X). Congratulations Artie! https://t.co/K8PrKh579R
Open

10th International Workshop on Machine Learning in Medical Imaging (MLMI 2019)

Overview Machine learning plays an essential role in the medical imaging field, including computer-aided diagnosis, image segmentation, image registration, image fusion, image-guided ...

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On Aug 21, 2019
@MSFTResearch shared
The First TextWorld Problems competition enables researchers to have some fun with text-based games while making important strides in reinforcement learning and natural language processing. Find out who won and how their agent tackled the challenge: https://t.co/YlVCSELkWX
Open

First TextWorld Problems, the competition: Using text-based games to advance capabilities of AI agents

The First TextWorld Problems competition enables researchers to have some fun with text-based games while making important strides in reinforcement learning and natural language processing. ...

On Aug 17, 2019
@hardmaru shared
RT @le_roux_nicolas: Here is the call for papers: https://t.co/o5O1UZxoc9 . Don't wait, deadline is soon! https://t.co/bwRRFQq7FR
Open

Optimization Foundation for Reinforcement Learning

[“Workshop at NeurIPS, Dec 13-14th. 2019, Vancouver, Canada”]

On Aug 23, 2019
@GoogleAI shared
Listen to the latest podcast of @twimlai, in which @OlivierBachem from Google Research, Zürich talks about the Google Research Football environment (https://t.co/rdvsOINA9e) and the learning of disentangled representations (https://t.co/lrC7eN4EUx). https://t.co/3yi0ixqvs1
Open

Disentangled Representations & Google Research Football with Olivier Bachem

Today we are joined by Olivier Bachem, a research scientist at Google AI on the Brain team, to discuss Google Research Football Project.

On Aug 23, 2019
@ogrisel shared
RT @bsaeta: One of the advantages of #CloudTPU's are hardware support for BFloat16, a numerical format invented by @JeffDean and others at #GoogleBrain over half a decade ago. Although source has long been available in @TensorFlow, we're now finally talking about it: https://t.co/HYkPgJOMkb
Open

BFloat16: The secret to high performance on Cloud TPUs

How the high performance of Google Cloud TPUs is driven by Brain Floating Point Format, or bfloat16

On Aug 23, 2019
@jeremyphoward shared
RT @Even_Oldridge: A further improvement upon the RAdam optimizer, combining it with LookAHead (https://t.co/xPhImDNjuk) gives even better performance than SGD while converging faster. Another great article from Less Wright with a @fastdotai implementation. https://t.co/DvaVrXBSda
Open

New Deep Learning Optimizer, Ranger: Synergistic combination of RAdam + LookAhead for the best of both.

A new paper in part by the famed deep learning researcher Geoffrey Hinton introduces the LookAhead optimizer(“LookAhead optimizer: k steps…

On Aug 23, 2019
@mxlearn shared
[D] Deep Reinforcement Learning (research) engineer as MSc? https://t.co/XGZsvAaqnX
Open
On Aug 22, 2019
@peteskomoroch shared
RT @mza: Amazon Forecast – Now Generally Available | AWS News Blog https://t.co/uQg8dpHKRB https://t.co/oNo1AzruYy
Open

Amazon Forecast – Now Generally Available

Getting accurate time series forecasts from historical data is not an easy task. Last year at re:Invent we introduced , a fully managed service that requires no experience in machine ...

On Aug 21, 2019
@kchonyc shared
Joint Workshop on AI for Social Good Workshop at NeurIPS2019 https://t.co/UgvncHwvlp
Open

NeurIPS2019 AISG Workshop

A focus on social problems for which artificial intelligence has the potential to offer meaningful solutions.

On Aug 19, 2019
@weballergy shared
RT @hardmaru: Evolving Networks: A nice review article about NEAT and extensions, with a minimal python implementation. Interesting to read about Neuroevolution from people like @wellecks who mainly work on Deep Learning and NLP. https://t.co/kBv0KGKyzj https://t.co/0J5UDikb91
Open

Evolving Networks

Finding neural network topologies is a problem with a rich history in evolutionary computing, or neuroevolution. This post will revisit some of the key ideas and outgoing research paths. ...