MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

The study identifies three core domains where AI is increasingly embedded in local energy systems. The first is forecasting ...

Musculoskeletal (MSK) conditions drive a large share of global pain, disability, and lost productivity. Rehabilitation can be effective, but outcomes vary ...

CHROs under pressure to ensure that L&D investments strike the balance between transformation and social obligations into competitive capability, employability and growth.In 2026, CHROs are standing ...

The “one big breakthrough” pattern suggests that total citation counts can mislead. A researcher with one highly-cited paper and several uncited ones may have a more impactful trajectory than one with ...