covid-19 lockdown
We have to act now to keep AI from becoming a far-left Trojan Horse
Pizza, fries and a martini... all served up by a robot. 'Bar Rescue' host Jon Taffer checked out tech trends in the restaurant industry and shed some light on the expansion of'Taffer's Tavern.' The hottest topic nowadays revolves around Artificial Intelligence (AI) and its potential to rapidly and imminently transform the world we live in -- economically, socially, politically and even defensively. Regardless of whether you believe that the technology will be able to develop superintelligence and lead a metamorphosis of everything, the possibility that may come to fruition is a catalyst for more far-leftist control. The likeliest starting point will be more calls for Universal Basic Income (UBI), a program by which the government guarantees every American some form of ongoing payment (such as a monthly stipend).
Changes in Commuter Behavior from COVID-19 Lockdowns in the Atlanta Metropolitan Area
Santanam, Tejas, Trasatti, Anthony, Zhang, Hanyu, Riley, Connor, Van Hentenryck, Pascal, Krishnan, Ramayya
This paper analyzes the impact of COVID-19 related lockdowns in the Atlanta, Georgia metropolitan area by examining commuter patterns in three periods: prior to, during, and after the pandemic lockdown. A cellular phone location dataset is utilized in a novel pipeline to infer the home and work locations of thousands of users from the Density-based Spatial Clustering of Applications with Noise (DBSCAN) algorithm. The coordinates derived from the clustering are put through a reverse geocoding process from which word embeddings are extracted in order to categorize the industry of each work place based on the workplace name and Point of Interest (POI) mapping. Frequencies of commute from home locations to work locations are analyzed in and across all three time periods. Public health and economic factors are discussed to explain potential reasons for the observed changes in commuter patterns.
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Koopman-theoretic Approach for Identification of Exogenous Anomalies in Nonstationary Time-series Data
Mallen, Alex, Keller, Christoph A., Kutz, J. Nathan
Traditional statistical methods include the time-domain Time-series analysis is used to extracting meaningful methods, such as the family of autoregressive (AR) models statistics and characteristics of temporal sequences and their many variants, including ARMA (AR moving of data [1], and is among the most ubiquitous mathematical average), ARIMA (AR integrated moving average), methods. Indeed, time-series are universal for SARIMA (seasonal ARIMA), etc. [1]. Such models use a signal processing methods and in pattern recognition applications, diversity of optimization techniques to estimate parameters dominating characterization of econometrics of a linear model with its history dependence. Traditional and finance along with almost any scientific and engineering frequency-domain methods use the properties of application. Time-series methods can be broadly short-time Fourier transforms [9] and/or wavelet transforms divided into time-domain and frequency-domain methods, [10] in order to characterize the signal in a joint the former of which uses a variety of statistical techniques time-frequency representation. More recently, there have to characterize a sequence, and the latter of which been efforts to model time-series data as from a dynamical uses spectral (e.g.
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AI-Based Worldwide-Trends Due to COVID-19
COVID-19 pandemic has affected the entire world. Many people lost their jobs, kids stay at home, and the economic crisis is disastrous. The question of "how will the world be after COVID-19" is of high interest. Many futurists predict a different world, where we should rethink public spaces and believes that the memory of the COVID-19 lockdown will remain for a long time (Del Bello, 2020). This information presents a sad situation, where the COVID-19 continues to spreads with tragic death cases.
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Worldwide digital games market: June 2020
Overall earnings were up 3% from May ($10.2B) and 9% over June 2019 ($9.6B). Both PC and console revenue were down from their 2020 peaks set in March. This was offset by growth in mobile revenue, which hit an all-time high. Mobile game spending typically sees a boost in the summer months, and this seasonal growth was likely further bolstered by the limited availability of other entertainment options due to COVID-19. The Last of Us Part 2 sold 2.8M digital units in June, easily setting the record for exclusive PlayStation launches.