Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

How hands-on coursework, industry experience, and community prepared APAN graduates to lead in data-driven roles.

Recent advancements in machine learning have ushered in a transformative era for seismic data analysis. By integrating sophisticated algorithms such as convolutional neural networks (CNNs), generative ...

The absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic ...

A collaborative approach to training AI models can yield better results, but it requires finding partners with data that complements your own.

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry challenges like the "patent cliff" and high clinical failure rates. AI-driven ...

Overview: Python and SQL form the core data science foundation, enabling fast analysis, smooth cloud integration, and ...

Machine learning careers offer strong salary growth across Indian industriesReal projects and deployment skills matter more ...

In 1854, London was struck by a devastating cholera outbreak. Public authorities responded using the best tools and scientific understanding available at the time.Disease was widely believed to spread ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...