Google’s own AI leadership is now talking openly about self-improving models, and the company has launched Gemini 4 Argon, rolling it out globally to AI Pro and Ultra subscribers in October 2026. That ...

To accelerate scientific discovery without spending weeks configuring infrastructure or hand-tuning legacy code, high-performance computing (HPC) teams need purpose-built hardware and AI-driven ...

This section reviews the current literature on multi-criteria decision-making (MCDM) methods in sustainable energy planning, ...

Researchers have introduced Hooded Seal optimization, a swarm-based evolutionary metaheuristic that outperformed or matched ...

I am going to talk about how I believe the world will soon become one where "those who can lower entropy are the ones who are ...

Thomas Spiegelhalter’s pedestrian bridge over the Kleine Emscher river combines innovative digital design and metal 3D-printed construction techniques in a new flood-resilient crossing for pedestrians ...

MOEA/D is an evolutionary multi-objective algorithm with a population of 20 solutions. With raw data-based initialization, it starts with the estimate and 19 variations of it. It returns a Pareto ...

From an era where AI writes code, to an era where it repeatedly tests candidates and improves algorithms by keeping the good ...

The manosphere is particularly fond of evolutionary psychology, which seeks to link evolutionary mechanisms directly to human ...

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: Topology optimization (TO) emerges as a pivotal technique in engineering design, which aims at optimizing material distribution within given design spaces. TO often presents large-scale ...