Top news of the week: 18.06.2020.

Learning, Neural network, Translation, Das Model, Machine translation, Machine learning

Research

On Jun 18, 2020
@hardmaru shared
RT @dennybritz: Finally finished setting up a new blog and wrote a first post that summarizes Deep Learning replicability issues and talks a bit about academic incentives: https://t.co/dzHY0q9y8j It’s also an experiment to make a hybrid blog-publication with citations and PDF versions :)
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AI Research, Replicability and Incentives

AI Research, Replicability and Incentives

A look at replicability issues in Artificial Intelligence research, and how academic incentive systems are driving the communinity towards certain types of research.

On Jun 17, 2020
@AndrewYNg shared
Our new Natural Language Processing Specialization’s first two courses are now on @Coursera! You’ll build your technical foundations and work on projects ranging from sentiment analysis to language modeling to autocomplete. Check it out: https://t.co/RCcYfmRBsM https://t.co/rWf5nusLhp
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Natural Language Processing Specialization

Natural Language Processing Specialization

Offered by deeplearning.ai. Natural Language Processing (NLP) uses algorithms to understand and manipulate human language. This technology is one of the most broadly applied areas of ...

On Jun 16, 2020
@stanfordnlp shared
RT @NewZealandAI: The Best Course for NLP with Deep Learning from Stanford. #AI https://t.co/smyujwQr6u
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The Best Course for NLP with Deep Learning is Free

The Best Course for NLP with Deep Learning is Free

One of the most popular and acclaimed course…

On Jun 15, 2020
@shakir_za shared
RT @clickclaimprize: I reviewed Ruha Benjamin's Race After Technology. It's both a master class in tech criticism and a sober guide to all the discrimination embedded in our gadgets https://t.co/xEgfB56BrV
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The Ghost in the Machine

The Ghost in the Machine

From facial recognition to VR, Ruha Benjamin’s new book illuminates how cutting-edge tech reproduces inequalities.

On Jun 17, 2020
@shakir_za shared
RT @MihaelaVDS: #COVID19 is a nightmare for event organizers, but #machinelearning summer schools have adapted admirably. I'm giving a tutorial next month at @MLSS_Tuebingen, among others. Virtual hats off to the @MPI_IS team for putting the event online! Details: https://t.co/ipHiX9B5gu https://t.co/PNzCeL7rnG
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Mihaela van der Schaar to give tutorial at MLSS 2020

Mihaela van der Schaar to give tutorial at MLSS 2020

Mihaela van der Schaar will give a tutorial at the Max Planck Institute for Intelligent Systems' 2020 Machine Learning Summer School (MLSS)

On Jun 16, 2020
@MSFTResearch shared
Even advanced models have trouble w/ image classification in unfamiliar scenarios, making tasks like zero-shot learning valuable. Researchers ID two principles that contribute to learning good representations for ZSL—locality & compositionality: https://t.co/VDb9Oqqjdj #ICLR2020
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Learning local and compositional representations for zero-shot learning

Learning local and compositional representations for zero-shot learning

In computer vision, one key property we expect of an intelligent artificial model, agent, or algorithm is that it should be able to correctly recognize the type, or class, of objects it ...

On Jun 12, 2020
@shakir_za shared
RT @IndabaxEgypt: This @DeepIndaba X @AI4Dev grant will sponsor mini ML/AI projects from across the continent and in all disciplines. Calling onto the Egyptian 🇪🇬 community to apply 🔗https://t.co/z8BxvBnnlE 🗓️Deadline is July 6th! https://t.co/uRpDAw9j2O
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AI4D-IndabaX Innovation: Call for Proposals

AI4D-IndabaX Innovation: Call for Proposals

Submit proposals to receive funding up to USD 8,000 for small research projects with a development focus, which will be completed by the end of January 2021. We are specifically …

On Jun 15, 2020
@xamat shared
RT @CuraiHQ: We have been working hard on adding COVID-19 capabilities to our end-to-end primary healthcare service. Read about our tech approach and our research in our tech blog: https://t.co/8RXSzPk5aG
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Our tech approach to COVID-19

Our tech approach to COVID-19

(This post is an updated and longer version of a talk we gave at the AI for COVID-19 Conference at Stanford a few weeks back. The short…