Our goal with CosmeticAI™ was to make cosmetic ingredient development predictable rather than exploratory” — Dr. Lurong Pan, CEO of Ainnocence SAN FRANSICO, CA, UNITED STATES, January 1, 2026 ...

Intel's 2026 turnaround relies on AI trends, foundry growth, and competitive products. Learn what's at stake and what this ...

In the race against the "Carbon Cliff", AI is becoming an essential tool for balancing the economic equation. AI integration ...

The challenge of resource allocation for UAV swarms in dynamic and uncertain electromagnetic environments has been ...

A hybrid geothermal–biomass system integrates multigeneration heating, cooling, and power through thermodynamic and economic optimization.

It is a time of reckoning for the American Ryder Cup team, brought by an embarrassing collapse during the first two days at ...

Abstract: Constrained multi-objective problems (CMOPs) are tricky, because it is difficult to handle multiple objectives and constraints simultaneously. Most existing algorithms perform well on CMOPs ...

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: Multi-party multi-objective optimization, which aims to find a solution set that satisfies multiple decision makers (DMs) as much as possible, has attracted the attention of researchers ...

Using the right model and the right prompt is only part of the enterprise AI challenge, it's also critical to optimize the prompt. The breakthrough in prompt optimization arrives alongside Databricks' ...

1 Guangzhou Institute of Building Science Group Co., Ltd., Guangzhou, Guangdong, China 2 Glenn Department of Civil Engineering, Clemson University, Clemson, SC, United States Modern seismic codes ...

In the fast-evolving field of electronic systems design, engineers are under increasing pressure to deliver innovative, high-performance products within ever ...