Against the background of China’s ambitious dual carbon goals (carbon peaking by 2030 and carbon neutrality by 2060), the transportation sector, as a major source of carbon emissions, shoulders a ...

A Korean research team has developed a two-electrode-based real-time diagnostic technology capable of precisely analyzing the ...

It’s the predictable outcome of most cost optimization programs for cloud-native infrastructure. Rightsizing focuses on the ...

Researchers have conducted a systematic review of advanced artificial intelligence algorithms and hardware acceleration techniques applied to material structure design, highlighting significant ...

AI reasoning does not necessarily require spending huge amounts on frontier models. Instead, smaller models can yield ...

Abstract: Planning smooth trajectories through a sequence of waypoints under nonconvex constraints is challenging due to the coupling between coefficient optimization and time allocation. Existing ...

Advanced AI systems can appear helpful while learning behaviors that look deceptive, self-protective, or manipulative.

Through this relationship, Lumonus will license and co-develop MSK's ECHO mathematical optimization engine into the Lumonus platform and will invest in joint research focused on advancing automated ...

Globally, subtle hydrocarbon reservoirs in petroliferous basins have always been challenging targets for exploration research, with thin sand body reservoir prediction being a key focus in this field.

Abstract: The coal mine integrated energy system dispatch problem (CMIES-DP) is a constrained multiobjective optimization problem (CMOP) with the characteristics of multiple objectives, ...

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 ...