Recent studies have shown that Binary Graph Neural Networks (GNNs) are
p...
With the increasing prevalence of artificial intelligence (AI) in divers...
Programming Language Processing (PLP) using machine learning has made va...
There is a growing demand for shifting the delivery of AI capability fro...
In a general graph data structure like an adjacency matrix, when edges a...
This paper presents a novel optimization for differentiable programming ...
Text analytics directly on compression (TADOC) has proven to be a promis...
Python has become a popular programming language because of its excellen...
Theorem provers has been used extensively in software engineering for
so...
This article provides a comprehensive description of Text Analytics Dire...
How to make software analytics simpler and faster? One method is to matc...
Mobile devices are becoming an important carrier for deep learning tasks...
Assuming hardware is the major constraint for enabling real-time mobile
...
OpenCL for FPGA enables developers to design FPGAs using a programming m...
Convolutional Neural Networks (CNN) are being actively explored for
safe...
AI software is still software. Software engineers need better tools to m...
Software analytics has been widely used in software engineering for many...
Industrial practitioners now face a bewildering array of possible
config...