Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

Researchers at College of Food, Agricultural and Natural Resource Sciences are using AI to detect patterns across landscapes, atmospheres and ecosystems at scales that were previously impossible.

Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...

Being invited to present research at an international academic conference is an honor for any seasoned professional. But for ...

Here is a blueprint for architecting real-time systems that scale without sacrificing speed. A common mistake I see in ...

In his new book, “A World Appears,” Michael Pollan argues that artificial intelligence can do many things—it just can’t be a ...

Zimbabwe’s lithium story is no longer just about geology or battery demand. It is about data, algorithms, skills, bargaining ...

The APAN program recently unveiled new concentrations: Emerging Technologies (on technological advances in analytics) and Quantitative Management (on algorithmic decision-making, quantitative risk ...

Explore the innovative concept of vibe coding and how it transforms drug discovery through natural language programming.

Introduction The proliferation of deepfake technology, synthetic media generated using advanced artificial intelligence techniques, has emerged as a ...