A team of researchers from the Shanghai Institute of Applied Physics, Chinese Academy of Sciences, has developed an ...
ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...
Language Model Evolutionary Algorithms for Recommender Systems: Benchmarks and Algorithm Comparisons
Abstract: In the evolutionary computing community, the remarkable language-handling capabilities and reasoning power of large language models (LLMs) have significantly enhanced the functionality of ...
A new evolutionary technique from Japan-based AI lab Sakana AI enables developers to augment the capabilities of AI models without costly training and fine-tuning processes. The technique, called ...
TITLE: Optimizing Lung Cancer Detection in CT Imaging: A Wavelet Multi-Layer Perceptron (WMLP) Approach Enhanced by Dragonfly Algorithm (DA) ...
Mikel Hernaez receives funding from the Spanish Ministry of Science, Innovation and Universities, the government of Navarra, the EU Department of Defence, the Carlos III Health Institute and the ...
Large language models (LLMs) leverage unsupervised learning to capture statistical patterns within vast amounts of text data. At the core of these models lies the Transformer architecture, which ...
Zamudio explains, "The evolutionary algorithm is pretty straightforward. We start with a population of inputs that come from the specifications of a program. And then we do two things: first, mutate ...
WASHINGTON — Lockheed Martin is launching a new initiative called “AI Fight Club,” a virtual battleground where companies can test their artificial intelligence algorithms for use in military ...
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