… (a) An overview of numbers of papers published from January 2013 to December 2019 in
deep learning based computation histopathology surveyed in this paper. (b) A categorical …

… it suitable to benchmark the cost of computation in various security models for researchers
both with and without a background in secure computation This paper aims to outline the …

… , mixed-effects models, and Bayesian models. performance also offers functions to
compare and test multiple models simultaneously to evaluate the best fitting model to the data. …

… the performance of our framework compared with other state-of-the-art methods. Besides,
we also report the experimental results of our framework on a billion-scale industrial dataset. …

… In the lower panel we compare two versions of our IMRPhenomXPHM model (NNLO-based
version 102 with final spin version 0 and MSAbased version 223 with final spin version 3; …

… a giant model can efficienctly be trained on 2048 TPU v3 accelerators in 4 days to achieve
far superior quality for translation from 100 languages to English compared to the prior art. …

… review HD computing and present a comparison between HD and classical computing. We
… Compared to classical computing, HD computing employs hypervectors as its data type, …

… Then, we model the computing ability of all Industry 4.0 devices as the number of samples
that could be trained for further model updates. The value might vary a bit due to other …

… To make this model computational, we move from specification to implementation (consider
where we are in the path shown in Fig. 2). We notice Equation 1 is not wrong, but could be …

… modeling, we first need to clarify the modeling framework. Several studies have designed a
common framework based on the analysis of the needs of researchers and the industry. Tao …