Nightfall’s Up to Speed on AI and Deep Learning 4/7/20



In Nightfall’s Up to Speed on AI and Deep Learning, we summarize the latest news, research, technology, and applications of AI and Deep Learning. In this week’s edition:

Read these stories and more below. 

Emerging Research

Predicting Labor Shortages from Labor Demand and Labor Supply Data: A Machine Learning Approach. (arXiv:2004.01311v1 [econ.GN])
This research develops a Machine Learning approach able to predict labor shortages for occupations. We compile a unique dataset that incorporates both Labor Demand and Labor Supply occupational data in Australia from 2012 to 2018. This includes data from 1.3 million job advertisements (ads) and 20 official labor force measures.

Portable Health Screening Device of Respiratory Infections. (arXiv:2004.01479v1 [cs.CY])
The COVID-19 epidemic was listed as a public health emergency of international concern by the WHO on January 30, 2020. To curb the secondary spread of the epidemic, many public places were equipped with thermal imagers to check the body temperature. In this demo paper, we proposed a portable non-contact healthy screening system for people wearing masks, which can simultaneously obtain body temperature and respiration state.

Uncertain Multi-Agent Systems with Distributed Constrained Optimization Missions and Event-Triggered Communications: Application to Resource Allocation. (arXiv:2004.01685v1 [eess.SY])
This paper deals with solving distributed optimization problems with equality constraints by a class of uncertain nonlinear heterogeneous dynamic multi-agent systems. It is assumed that each agent with an uncertain dynamic model has limited information about the main problem and limited access to the information of the other agents’ states.

Neural Architecture Generator Optimization. (arXiv:2004.01395v1 [cs.LG])
Neural Architecture Search (NAS) was first proposed to achieve state-of-the-art performance through the discovery of new architecture patterns, without human intervention. In this work we propose 1) to cast NAS as a problem of finding the optimal network generator and 2) a new, hierarchical and graph-based search space capable of representing an extremely large variety of network types.

AI & ML in Society

Healthcare Centers are Turning to AI to Combat Covid-19
Artificial Intelligence has emerged as a powerful tool in the time to fight against Covid-19. The technology is used to train computers to leverage big data-enabled models for pattern recognition, interpretation, and prediction using Machine Learning, NLP and Computer Vision. These applications can be effective to diagnose, envision, and treat Covid-19 disease.

IBM Research releases a new set of cloud- and artificial intelligence-based COVID-19 resources
Access to the online databases is free to qualified researchers and medical experts to help them identify a potential treatment for the novel coronavirus. IBM Research is making multiple free resources available to help healthcare researchers, doctors, and scientists around the world accelerate COVID-19 drug discovery.

Coronavirus Treatment: How Artificial Intelligence Might Slow The Spread Of COVID-19
As companies from numerous industries come together to battle the spread of coronavirus in whatever way they can, tech companies have begun to explore ways in which artificial intelligence might be used to fight and study the virus. Tech leaders are also hopeful that the current global pandemic will inspire further investments into AI for healthcare and greater integration of the technology in general.

Artificial intelligence to predict which COVID-19 patients need ventilators
Experts at the University of Copenhagen, Denmark, have begun using artificial intelligence to create computer models that calculate the risk of a corona patient’s needing intensive care or a ventilator. As coronavirus patients are hospitalized, it is difficult for doctors to predict which of them will require intensive care and a respirator.


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