A firefly-inspired AI framework makes atomic structure prediction more robust by combining multimodal search with an uncertainty-aware machine learning technique. The method improves efficiency for ...

The study suggests that physically informed AI can do more than interpolate missing data; it can help connect satellite generations into a more coherent long-term observing system. The authors note ...

Targeting initial commercial LFP supply agreements for defence and energy-storage applications by the end of 2026 Targeting completion and marketing of a commercial-ready One-Pot™ LFP CAM Package ...

The customer value creation has been so substantial that Marketeam.ai has achieved 14X growth in less than 12 months, through consistent delivery of an average 6X ROI to customers. This organic growth ...

Read more about AI could transform pandemic strategy by balancing lives, economy and resources on Devdiscourse ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

In this tutorial, we implement an advanced Optuna workflow that systematically explores pruning, multi-objective optimization, custom callbacks, and rich visualization. Through each snippet, we see ...

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 ...

Modern seismic codes ensure life safety, but code-compliant buildings can still suffer significant economic losses from earthquake-induced damage, even during moderate events. Performance-Based ...

Abstract: To enhance the efficiency of cooperative transportation by multiple mobile robots, we propose a transportation strategy based on multi-objective optimization of robot configurations. The ...