I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

New Delhi: As the global economy transitions to data-driven decision-making, the demand for data science and machine learning professionals has surged. Keeping this in mind, IIT Delhi has ...

The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, molecules, and materials.

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

The Large Hadron Collider is one of the biggest experiments in history, but it’s also one of the hardest to interpret. Unlike ...

With technology/AI taking over administrative and repetitive tasks, human roles will shift towards more strategic, creative, ...

The 16th International Workshop on Hadron Physics welcomed 135 physicists to the Federal University of Rio Grande do Sul in ...

Machine Learning with Omics Data Health research is increasingly turning to high-throughput molecular datasets (also known as ‘omic’ datasets) to discover novel biomarkers of disease risk and outcome.

Traditional military training often relies on standardized methods, which has limited the provision of optimized training ...