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

FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the ...

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

FICO Xpress 9.8 features a GPU-accelerated implementation of the hybrid gradient algorithm, yielding up to 50x speedups. The hybrid gradient algorithm is useful for getting faster solutions to ...

Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and brand-new LLM-based ...

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

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

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

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

There are some classic pairings where each half makes the other better: peanut butter and jelly, bread and butter, cookies ...

Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...

Floating Fleet AI, a leading provider of AI-driven solutions for private aviation, today announced the addition of Norbert ...