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

Every year, more than one million scientific articles are published in the life sciences. Two-thirds of them include ...

A digital innovation initiative about fault anomalies has been selected as one of the first projects for the new Microsoft AI ...

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

Keratoconus (KCN) is an eye condition that affects the cornea. The main objective of this study is to evaluate the accuracy of keratoconus detection from corneal parameters including elevation, ...

The changes are part Microsoft's efforts to improve the resiliency of the Windows operating system after last year’s ...

As higher ed institutions embrace generative artificial intelligence tools, Stony Brook University’s library is spearheading ...

The Department of Computer Science and Engineering, Vidyavardhaka College of Engineering (VVCE), Mysuru, will be organising its annual international conference on ‘Data Science, Machine Learning ...

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

Multimodal machine learning (MML) is a tempting multidisciplinary research area where heterogeneous data from multiple modalities and machine learning (ML) are combined to solve critical problems.

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 ...