OpenAI's Open Responses standardizes agentic AI workflows, tackling API fragmentation and enabling seamless transitions ...
This repository contains the code and data associated with the research paper: "Automated Regression Workflow for Interpretable Deflection Prediction in Bio-Inspired Laminated Composite Plates" Shakti ...
Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.
Abstract: In recent years, as the demand for computing power in scientific computing has progressively increased, the scale of scientific applications has also grown, at the same time the number of ...
Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
Background: Accurate and reproducible quantification of LA anatomy from CTA is essential for ablation, LAAC, and structural interventions, yet manual measurements are time-consuming and prone to inter ...
Abstract: Scaling Machine Learning (ML) workflows in cloud environments presents critical challenges in ensuring reproducibility, low-latency inference, infrastructure reliability, and regulatory ...
In rural and semi-urban India, 900,000+ ASHA (Accredited Social Health Activist) workers serve as the primary healthcare interface for over 26 million pregnancies annually. These frontline workers ...
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