Knowing how much embodied carbon is contained in the building can lead to valuable insights about the value of retaining more of the existing fabric and making very precise design decisions when choosing new elements and construction materials. One Building—Many Tools In addition to ...
From a developer gathering to a fiesta of computing and intelligence industries, Apsara Conference has gone through 15 glorious years and evolved into Asia’s top digital technology conference, bringing together global technology leaders, industry elites, developers and tech enthusiasts every year. Here...
Value-based decision-making is a complex process that requires, at the very least, the deployment of five basic types of computations. First, a representation of the decision problem needs to be constructed. This entails identifying potential courses of action (e.g., to pursue a prey item or...
The computing performance of the GPU is far from the peak value. Therefore, it is not fair to compare in this situation. Of course, in the actual deep learning inference task, it is not always good to choose a large batch size. On the one hand, the inference performance of the deep ...
// Function memoize takes a single argument, func, a function we need to memoize.// Our result is a memoized version of the same function.functionmemoize(func) {// Initialize and empty cache object to hold future valuesconstcache = {};// Return a function that allows any number of argu...
This study provides a conceptual framework for mapping a newly proposed value network consisting of three schemas (star, community and compound schemas) with an illustrated example. Development of a new networked measure of CLV called network customer lifetime value (NCLV) is our future aim....
On the other hand for intermediate degrees of similarity, for example when 1- r2 = 0.9 RDI was only halfway to its maximal value of 1 when only 10% of tuning between the two tuning curves was shared. But wait a minute! Is this fair to compare RDI on the basis of r2? That is ...
During the first stage of the methodology, we employ Gated Recurrent Units (GRUs) to predict the immediate future behaviour of the time series that describe the temporal dynamics of the value of a set of assets. Then, we employ a Deep Q-Learning Architecture to compute optimized trading ...
(CUEP)on the boundary of the operating point’s region of attraction.The key idea is to vary a parameter value in such a way as tomaximize the time spent by the trajectory in a ball centred at theCUEP. This will drive parameter values to their critical values.The algorithm is ...
Consequently the validity of any statement (lemma/theorem/corollary) can be checked in CMA; no mathematical proof methods such as those of induction, contradiction, deduction, construction and a combination of two or more of them are required. Cloud/grid computing and other form of future ...