Advances in machine learning and shape-memory polymers are enabling engineers to design for mechanical performance first and ...
ThetaRay, a global leader in Cognitive AI financial crime compliance, and Matrix USA, a premier global service integrator of anti-money laundering (AML), financial crime and compliance systems, today ...
Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as weather patterns, recorded speech or stock market trends. Classical ...
A paper written by University of Florida Computer & Information Science & Engineering, or CISE, Professor Sumit Kumar Jha, Ph.D., contains so many science fiction terms, you'd be forgiven for thinking ...
Abstract: Evolutionary multi-task optimization is an emerging research topic in the field of evolutionary computation. It aims to achieve simultaneous optimization of different tasks by dynamically ...
Abstract: Fluence map optimization problem (FMOP) refers to the optimization of the intensity of radiation beams, which is a crucial part of intensity-modulated radiation therapy (IMRT). The FMOP is ...
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