Reston, Va., March 16, 2026 (GLOBE NEWSWIRE) -- Noblis, a leading provider of science, technology, and strategy services to the federal government, announced today that it has been granted U.S. Patent ...

Abstract: Genetic programming (GP) has achieved promising results without relying on the extraction of prior knowledge, e.g., fixed network architecture. However, most existing GP methods guide the ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The accurate treatment of many-unpaired-electron systems remains a central challenge ...

OpenAI and Google DeepMind demonstrated that their foundation models could outperform human coders — and win — showing that large language models (LLMs) can solve complex, previously unsolved ...

Genetic Programming (GP) is a type of evolutionary algorithm and a subset of machine learning. It automatically evolves computer programs to solve complex problems, drawing inspiration from the ...

Proteogenomics explores how genetic information translates into protein expression and function, and the role of changes across DNA, RNA, and proteins in influencing disease development and ...

Scratch-pad memory (SPM) has been widely used in embedded systems because it allows software-controlled data placement. By designing data placement strategies, optimal solutions with minimal memory ...

ABSTRACT: Supply chain networks, which integrate nodes such as suppliers, manufacturers, and retailers to achieve efficient coordination and allocation of resources, serve as a critical component in ...

Genomics is playing an important role in transforming healthcare. Genetic data, however, is being produced at a rate that far outpaces Moore’s Law. Many efforts have been made to accelerate genomics ...

Abstract: Job Shop Scheduling (JSS) is a critical application in diverse fields, such as cloud computing and manufacturing. Genetic Programming (GP) is acknowledged for its wide use in evolving ...