EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — ...

Genetic algorithms (GAs) mimic natural selection to solve complex optimization problems across engineering, AI, and science. By evolving a population of solutions through selection, crossover, and ...

Gene editing has emerged as a powerful approach for targeting the genetic causes of disease, but getting the editing ...

Backtesting and optimization in NinjaTrader help transform trading ideas into robust, risk-aware strategies. By running simulations on historical data and adjusting parameters, traders can identify ...

Metagenomics relies on the use of software programs called assemblers, which can reconstruct tens of thousands of individual ...

Abstract: The manufacturing industry encounters numerous optimization problems, one of which is the optimization of storage location assignment (OSLA) problem in logistics. OSLA is a combinatorial ...

Researchers have published a comprehensive review of configuration and parameter design for electrified propulsion systems in ...

Overview: The global Artificial Intelligence (AI) in drug discovery market is projected to grow at a rate of 25-30% over the ...

Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...

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Abstract: Carrier aircraft dispatching operation is a key factor affecting the combat effectiveness of aircraft carriers. This paper focuses on the scheduling optimization of carrier aircraft, and ...

Researchers have developed a systematic review that charts the evolution of artificial intelligence in generative design for steel modular structures, particularly steel box modular buildings, ...