A major challenge in developing software for energy-constrained devices such as mobile phones is addressing the heterogeneity of hardware and operating systems, changing device environment, and diverse user workloads that compete for the same energy resource. The migration of computationally-demanding machine learning algorithms to embedded systems such as robots presents further challenges to managing power consumption.
The World Health Organization (WHO) describes coronaviruses as a group of viruses, several of which infect humans, which usually cause respiratory disease or illness, ranging from the common cold to severe acute respiratory distress syndrome (ARDS) [1]. The most recently discovered coronavirus, SARS-CoV-2, causes the infectious disease COVID-19, a pandemic affecting many countries around the world [1]. COVID-19 typically presents clinically as fever, dry cough, dyspnea, and fatigue, but signs and symptoms vary widely [1]. Reports are emerging of patients presenting with cardiovascular symptoms, including chest tightness and heart palpitations [2, 3]. Some patients present exclusively with cardiac complaints and do not have any other respiratory complaints [3]. Underlying cardiovascular disease increases the risk of severe COVID-19 disease and death [4, 5], but does COVID-19 infection increase the risk of, or cause, cardiovascular complications or cardiovascular disease in patients without underlying cardiovascular disease?
Akella Presents - Vol. 59
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