Two experts discuss what you need to know about the technology’s limitations and how to avoid unforeseen consequences.

Learn how AI content optimization helps your website get cited by ChatGPT, Perplexity, and Google AI Overviews.

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

At Floating Fleet AI, Norbert will play a key role in advancing the company’s optimization capabilities and working directly with customers whose operational challenges extend beyond what ...

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

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

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 ...

DARPA's QBI program currently funds 19 companies worldwide to pursue quantum architectures. ARLIS will serve as part of the ...

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...

Abstract: The Zebra Optimization Algorithm (ZOA) is a newly proposed biology-based metaheuristic method drawn from zebras in nature, designed to tackle optimization problems. As with other ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...