Neural operators, as a powerful approximation to the non-linear operators between infinite-dimensional function spaces, have proved to be promising in accelerating the solution of partial differential ...
Abstract: The problem of data privacy protection in the information age deserves people’s attention. As a distributed machine learning technology, federated learning can effectively solve the problem ...
Abstract: By leveraging neural networks, the emerging field of scientific machine learning (SciML) offers novel approaches to address complex problems governed by partial differential equations (PDEs) ...
A seemingly easy math puzzle making the rounds on the internet has left people scratching their heads as it requires some clever thinking. The brainteaser, that was shared on X this week by user ...
In recent years, big complex data sets have been generated using omics analysis, necessitating the use of various bioinformatics and computational tools for analysis and interpretation. The ...
Cyber risk in today's world goes beyond just technical problems. It includes behavioral, financial and strategic factors. However, most organizations and experts tend to look at these areas separately ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback