By leveraging inference-time scaling and a novel "reflection" mechanism, ALE-Agent solves the context-drift problems that ...

There are some classic pairings where each half makes the other better: peanut butter and jelly, bread and butter, cookies and milk. The same applies to App Store Optimization (ASO) and paid marketing ...

Social media algorithms change constantly, making it hard to maintain consistent reach and engagement. This article breaks ...

Abstract: This article is devoted to addressing the distributed aggregative optimization (DAO) problem via compressed gradient tracking algorithms, where the cost function of each agent relies on the ...

The wide-speed-range vehicles have attracted significant attention due to the exceptional performance in autonomous aerospace ...

QuoteIQ, a CRM platform built for mobile and field service businesses, has announced the launch of Route Density, a new ...

Artificial Intelligence in Energy Market was valued at USD 3904 Million in the year 2024 and is projected to reach a revised size of USD 11720 Million by 2031, growing at a CAGR of 17.3% during the ...

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...

More than half of creators (51.7%) cite algorithm unpredictability as their biggest challenge, significantly outpacing ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Renewable energy (RE) offers a promising solution to address the electricity shortages in isolated and rural areas. Microgrid (MG) can incorporate various energy sources, including renewable ...

The future of urban green space might be written in code, according to research in the International Journal of ...