Demand for critical minerals is set to soar as the world pursues net zero goals, the new IEA (International Energy Agency) report shows. The energy sector’s needs for minerals could rise by as much as 6 times by 2040. Insufficient supplies would risk delays &...
Mining industry risk aversion could slow the pace of energy transition — report from mining.com. Expansion capex is in very short supply, Kettle says with miners starving themselves of the capital they need to develop future supply. Kettle asserts the gap between...
As countries continue their progress in transitioning to clean energy, it is critical to root the transition in economic, political and social practices to ensure progress is irreversible, according to the World Economic Forum's Fostering Effective Energy Transition...
A ranking of 76 economies on their progress and commitment toward building a low-carbon future. Download report here: https://twitter.com/PCAanalytics/status/1385227564927619075
Collaboration between Google and Siemens to build industry-grade AI and ML solutions for scaling manufacturing process is a laudable step towards speeding up the Industry 4 era and strengthening the manufacturing automation ecosystem by co-creating innovations....
PwC’s 'Time for trust' report explores the value blockchain can add to the economy by 2030. PwC look at how practical, everyday uses are creating an opportunity for organisations to deliver value by building trust and improving efficiency across industries, from...
Cameronbridge Distillery, Scotland. This Diageo distillery is the birthplace of Cameronbridge pure grain whisky, and it is also where Gordons Gin, Smirnoff Vodka and other 'exotic' spirits are distilled
Attribution: James Allan / Cameronbridge Distillery, via Wikimedia Commons
VisIt's Scatter plot allows for the visualisation of multivariate data of up to four dimensions
The Scatter plot takes multiple scalar variables and uses them for different axes in phase space. The different variables are combined to form coordinates in the phase space and they are displayed using glyphs and coloured using another scalar variable.
Attribution: UCRL [Public domain], via Wikimedia Commons
Data fusion involves techniques that combine data from multiple sources (dimension #1 & #2) and gather that information in order to achieve inferences (see scatter plot)
Image of random data plus trend, with best-fit line and smoothing curves
The data is 1000 points, with a trend of 1-in-100, with random normal noise of SD 10 superimposed. The r2 fit of the raw data is 0.08; of the 10-pt-smoothed, 0.57; of 100-pt-smoothed, 0.97. For the raw data, the simple trend line explains almost none of the variance of the time series (only 8%). For the 100-pt filtering, the trend line explains almost all of the data (97%). The trend lines are almost identical as are the confidence levels. It shows that a low r2 value should not be interpreted as evidence of lack of trend.
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