Aditya Kakde·Jan 7Quantum Generative AI and the Future of Drug Discovery and Molecular SciencesThe life sciences industry stands at an inflection point. Traditional drug discovery pipelines, shaped over decades, are expensive, slow…
Aditya Kakde·Jan 6, 2025Embracing Cache-Augmented Generation: A New Era for Knowledge Tasks in Language ModelsIn the evolving landscape of natural language processing, integrating external knowledge into language models has become increasingly…
Aditya Kakde·Sep 28, 2024Large Language Models for Medicine: A Look at Med-PaLMThis Medium article will explore a recent advancement in applying large language models (LLMs) to the medical domain, specifically focusing…
Aditya Kakde·Feb 21, 2024MRI Cross-Modality Image-to-Image Translation with CycleGANMedical imaging plays a pivotal role in modern healthcare, aiding clinicians in diagnosing and treating various conditions. Magnetic…
Aditya Kakde·Feb 7, 2024Generative Adversarial Networks and Variational Auto-encoders for Enhanced Medical ImagingIntroduction:
Aditya Kakde·Jan 27, 2024Generative Artificial Intelligence: An Eagle-eye View of Diffusion ModelsAbstract:
Aditya Kakde·Dec 24, 2023Unveiling the Next Frontier: Machine Learning Algorithms in Neuromorphic ComputingIntroduction:
Aditya Kakde·Nov 11, 2023Elastic Net Regression : The Best of L1 and L2 Norm PenaltiesElastic net represents a merging of the well-known regularized versions of linear regression, namely ridge and lasso. While ridge employs…
Aditya Kakde·Oct 12, 2023Choosing the Right Regression Approach: Parametric vs. Non-ParametricIntroduction:
