Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...

By enhancing forecast precision, the system enables governments to preempt budgetary imbalances, reduce waste, and optimize spending efficiency. The authors argue that the combination of machine ...

The material has a unique lattice shape that allows it to twist into itself to effectively protect against a range of impact ...

A comprehensive framework integrates statistical modeling, machine learning, and simulation to optimize urban traffic forecasting, capacity ...

As HR professionals and leaders, we spend a lot of time talking about performance, KPIs, culture, and wellness, however, when ...

A forecasting-driven framework integrates ARIMA, LSTM, and ensemble learning to optimize cloud resource scheduling. By predicting CPU, memory, ...

Researchers led by Prof. Alessandro Serretti at Kore University of Enna have identified a genetic inflammatory signature that defines specific depression subtypes and influences how patients respond ...

Researchers led by Prof. Alessandro Serretti at Kore University of Enna have identified a genetic inflammatory ...

Marine scientists are witnessing a technological revolution in ocean cleanup. Revolutionary systems are transforming how we ...

A new study led by the Wildlife Conservation Society (WCS) finds that artificial intelligence (AI) models are providing more ...

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...