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Understanding Self-Training for Gradual Domain Adaptation
Kumar et al.: https://arxiv.org/abs/2002.11361
#ArtificialIntelligence #DeepLearning #MachineLearning
Artificial intelligence has been used for the first time to instantly and accurately measure blood flow, in a study led by UCL and Barts Health NHS Trust

Image: Myocardial blood flow "perfusion map" created and analysed using AI showing an area of the heart receiving a reduced blood supply (arrow) and putting the patient at risk of heart attacks and other adverse events.


https://www.ucl.ac.uk/news/2020/feb/ai-helps-predict-heart-attacks-and-stroke
Severe acute respiratory syndrome coronavirus 2 isolate Wuhan-Hu-1, complete genome
Wu et al.: https://www.ncbi.nlm.nih.gov/nuccore/MN908947.3
Demographic Bias in Biometrics: A Survey on an Emerging Challenge
The main contributions of this article are:
an overview of the topic of algorithmic bias in the context of biometrics,
a comprehensive survey of the existing literature on biometric bias estimation and mitigation,
a discussion of the pertinent technical and social matters, and
an outline of the remaining challenges and future work items, both from technological and social points of view.
https://arxiv.org/pdf/2003.02488.pdf
Yann LeCun

A 14 year old girl born without a left hemisphere exhibits normal language abilities.

This would suggest that language acquisition abilities are not due to some sort of specifically pre-wired circuits in the left hemisphere (where language-related areas are normally found).

https://www.sciencedirect.com/science/article/pii/S0010945220300678
Optimizing JPEG Quantization for Classification Networks. http://arxiv.org/abs/2003.02874
Accelerator-aware Neural Network Design using AutoML. http://arxiv.org/abs/2003.02838
Guided Generative Adversarial Neural Network for Representation Learning and High Fidelit... http://arxiv.org/abs/2003.02836