Antrophic's Mythos is not a distant laboratory curiosity. For fintech leaders, CISOs, CIOs, regulators, and policymakers in ...

From highly volatile markets to intelligent yield systems, JBStrategy is reshaping the logic of crypto asset investment. After experiencing multiple ...

The 2026 RSA Conference (RSAC) proved yet again why it’s the premier gathering for cybersecurity professionals worldwide. This year’s agenda ...

Abstract: Multimodal multi-objective optimization problems (MMOPs) are prevalent in real-world applications and have emerged as a significant research focus in evolutionary computation. Unlike ...

Open-ended genetic algorithm approach achieves breakthrough results in precision and explainabilityReston, Va., March 16, ...

Abstract: Efficient and safe path planning for multiple autonomous agents, such as unmanned aerial vehicles (UAVs), is essential in many real-world applications. The objective is to coordinate these ...

Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...

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 ...

The project aimed to develop a full stack of technologies to bring the practical advantages of quantum computing to industry in the near term Quantum computing is one of the frontiers of research and ...

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 ...

A new evolutionary technique from Japan-based AI lab Sakana AI enables developers to augment the capabilities of AI models without costly training and fine-tuning processes. The technique, called ...