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Discover how AI, Machine Learning and advanced algorithms impact our lives, our jobs and the economy thanks to expert articles that include discussion on the potential, limits and consequences of AI

Top news of the week: 30.09.2021.

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#PMLR
#MICCAI
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Research

@lawrennd shared
On Sep 27, 2021
RT @fayyazhere: Excited to announce #PMLR proceedings of #MICCAI Computational Pathology #COMPAY21 workshop. Congratulations all authors and thanks to all organizers & @lawrennd for making it possible! See: https://t.co/ho8lRHHkYb https://t.co/zCFf2X1oHw #cpath #ML @TIAwarwick @PathLAKE_CoE
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COMPAY 2021

COMPAY 2021

ACCESS TO THE WORKSHOP Go to: miccai2021.pathable.eu and login with your credentials In the “schedule” section, you see Agenda and My Agenda COMPAY should be in your agenda already, if not, ...

@Miles_Brundage shared
On Sep 28, 2021
RT @yi_zeng: China published the "Ethical Norms for the New Generation Artificial Intelligence" by the National Governance Committee for the New Generation Artificial Intelligence on September 25th, 2021. Honored to be one of the committee members to contribute. https://t.co/pLqvxf4Gzu
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The Ethical Norms for the New Generation Artificial Intelligence, China

The Ethical Norms for the New Generation Artificial Intelligence, China

China published the Ethical Norms for the New Generation Artificial Intelligence, on September 25th, 2021.

@mxlearn shared
On Sep 24, 2021
[P] [D]How can i achieve a Machine learning program which predicts jobs market and technology trends? https://t.co/H6cgHhGw0P
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@mxlearn shared
On Sep 23, 2021
[R] Google AI Introduces ‘WIT’, A Wikipedia-Based Image Text Dataset For Multimodal Multilingual Machine Learning https://t.co/EpfcX016hB
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@egrefen shared
On Sep 27, 2021
RT @ucl_dark: @YingchenX is interested in model-based RL and causal learning. She did her undergraduate studies at @RiceUniversity supervised by Anshumali Shrivastava, after which she worked as an ML engineer at @Airbnb. See https://t.co/MyUoZP04GI for more details. https://t.co/6adhFB5Kgg
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Yingchen Xu

Yingchen Xu

Homepage of Yingchen Xu, a CS PhD student at UCL and FAIR London.

@kchonyc shared
On Sep 25, 2021
RT @EricTopol: An @nyuniversity #AI study today has a very different result for breast ultrasound exams, reducing false positives by 37% and unnecessary biopsies by 28%, tapping into the fusion of machine & radiologist inputs https://t.co/b0Zj9Egd5x @NatureComms @kjgeras @NYUDataScience @cai2r https://t.co/P0CBHkHXPS https://t.co/JgkOtTNxMF
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Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams

Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams

Ultrasound is an important imaging modality for the detection and characterization of breast cancer, but it has been noted to have high false-positive rates. Here, the authors present an ...

@WIREDScience shared
On Sep 24, 2021
The prior algorithm adjusted calculations for Black patients—making it harder for them to qualify for transplants and other treatments. https://t.co/BoSuoJvhlv
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A New Formula May Help Black Patients’ Access to Kidney Care

A New Formula May Help Black Patients’ Access to Kidney Care

The prior algorithm adjusted calculations for Black patients—making it harder for them to qualify for transplants and other treatments.

@BaiduResearch shared
On Sep 27, 2021
We are releasing the PLATO-XL, a Chinese & English pre-trained dialogue generation model with up to 11 billion parameters. PLATO-XL obtains SOTA results across multiple conversational tasks. Read the blog for more: https://t.co/dXCOqV0eSf https://t.co/7QlmJExHEi
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Baidu Releases PLATO-XL: World’s First 11 Billion Parameter Pre-Trained Dialogue Generation Model

Baidu Releases PLATO-XL: World’s First 11 Billion Parameter Pre-Trained Dialogue Generation Model

As pre-training technology further promotes models’ ability to learn from large-scale unannotated data, mainstream research is focusing on making more efficient and full use of …