Abstract: This paper presents the optimisation of the states of PIN diodes in a design of a pattern reconfigurable antenna operating at a centre frequency of 5 GHz. The proposed design comprises a ...
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 ...
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 ...
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 ...
Amsterdam’s struggles with its welfare fraud algorithm show us the stakes of deploying AI in situations that directly affect human lives. What Amsterdam’s welfare fraud algorithm taught me about fair ...
Panelists discuss how treatment goals for intermediate-risk myelofibrosis patients focus on achieving meaningful clinical outcomes including relieving symptoms, preventing worsening of anemia, ...
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