Publications

For Next-Generation Intelligence

R&D Publications & Academic Contributions

Avauirk ardently believes that Research & Development (R&D) is core to its foundation and growth, with that as an ongoing initiative, enlisted below are few noteworthy research papers which were published in International Journals:

C’s Dynamic Memory Allocation Assisting AI Model Training Dataset AI Embedded Systems use concepts of C’s Dynamic Memory Allocation:

In the growing use of Python in the field of AI/ML, through this paper we want to highlight the importance of ‘C’ in the world, its advance usage in AI embedded systems, specially working on the core fundamentals of optimally utilizing dynamic memory allocations to meet most stringent business needs.

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Engineered Linear Algebra with AI to Optimize Supply Chain Coupling Linear Algebra and AI to Solve One of The Most Complex Real-Time Problems

Where every undergrad is trying to understand the integrities of Liner Algebra, Avauirk has tried to use that core knowledge to envision how this can be used to solve one of the most complex real-time business scenario of managing ‘Supply Chain’ by using the concepts of Mathematics and integrating it with AI to join the dots effectively.

Testing: The GenAI Way

Software Testing is a fundamental of any project’s quality and with time being a constraint, quality needs quality and timely output to bring about agility. With that as an objective, research was done in the area of Generative AI to see how we can not only automatically generate Test Artifacts but also optimize end-to-end testing life cycle.

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