Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

AI algorithms, trained on historical data reflecting men's sports dominance, may be gatekeeping sports content on social ...

3. Timeliness and currency: Outdated information undermines AI performance. In fast-changing fields, models that rely on ...

My home is much better with well-applied artificial intelligence, making things safer and saving money. Here's where AI is ...

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...

According to the MarkTechPost report, CatBoost’s high accuracy and processing speed, along with its broad versatility, allowed it to be included among six non-US technologies that have succeeded in ...

Enterprise AI adoption surged in 2025, but scaling still lags. Explore 7 key enterprise AI adoption trends shaping 2026—from ...

Digital Twin of the Ocean is a continuously updated virtual counterpart of the real ocean that exchanges data in real time ...

Quick diagnostic sprints deliver measurable results in weeks, not years, helping manufacturers prove AI value before ...

BMW has long been synonymous with the ultimate driving machine. But as we hurtle toward an increasingly connected future, the ...