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The concept of the digital twin brings versatility to the engineering world. By creating a virtual representation of a product, engineers can investigate designs to further product development, in-service optimizations and quality assurance.
Digital twins help engineers predict real world behavior, optimize designs and gain new insights and understandings of use cases. (Image courtesy of Rescale.)
Now with the implementation of the Internet of Things (IoT), the potential of the digital twin grows.
Engineers can link real-time data into their digital mock-ups, allowing for better understandings of the physical world.
However, digital twins don’t just come off the shelf. Since every modeled behavior is built in different system, engineering and IT teams experience a considerable challenge linking their disparate tools into one model. Joris Poort, CEO of Rescale, explained that this is where vendor-agnostic cloud HPC, like Rescale, can really shine.
Guest post by Kierste Miller, Data Scientist at Metabiota
At Metabiota, we are fascinated by infectious diseases and the way they spread. Epidemics pose an immense risk to the entire globe; however they are notoriously challenging to forecast and monitor. Our team produces epidemic risk models for the insurance, commercial and government sectors to help address the challenge of quantifying this seemingly unquantifiable risk. Our end users are interested in knowing the probability of experiencing a certain level of human or financial loss due to infectious disease epidemics.
To assess the likelihood of loss, we producein silico (i.e., performed via computer simulation)models that project plausible disease transmission events across the entire globe. For example, our simulators depict the potential spread of pandemic flu, as well as outbreaks akin to the 2003 SARS and 2014 West Africa Ebola events. We probabilistically model where disease emerges, how quickly it spreads, how many people it infects, and the resulting rates of healthcare utilization and mortality. Our clients are often interested in the costs associated with these events, so we couple disease spread models with financial models that quantify the economic impact and insurance claims related to outbreaks. Altogether, we create an extremely large set of simulated events that allows for the estimation of potential financial and human losses caused by disease epidemics.
When software engineers look at a piece of code, the first question they ask themselves is “what is it doing?” The next question is “why is it doing it?” In fact, there is a deep connection between these two – why becomes what at the next level of abstraction. That is, what and why are mirrors of each other across an abstraction boundary. Understanding this can help engineers write more maintainable, readable software.Continue reading →