Arboviral infections, transmitted primarily by mosquitoes and ticks, represent a growing global health burden driven by climate change, urbanization, and ...

Abstract: As an efficient recurrent neural network (RNN), reservoir computing (RC) has achieved various applications in time-series forecasting. Nevertheless, a poorly explained phenomenon remains as ...

DCI lets AI agents search raw files with grep and bash instead of embeddings — boosting accuracy 11 points and cutting ...

We present MELLE, a novel continuous-valued tokens based language modeling approach for text to speech synthesis (TTS). MELLE autoregressively generates continuous mel-spectrogram frames directly from ...

Developing countries face uncertainties driven by global macroeconomic variables over which they have little to no control. Key exogenous factors faced by most developing countries include interest ...

Economic policy uncertainty in the United States has a direct impact on euro area firms’ access to financing, the European Central Bank (ECB) said in a blog post this week, warning that this reduces ...

Every time a language model like GPT-4, Claude or Mistral generates a sentence, it does something deceptively simple: It picks one word at a time. This word-by-word approach is what gives ...

ABSTRACT: To improve the efficiency of air quality analysis and the accuracy of predictions, this paper proposes a composite method based on Vector Autoregressive (VAR) and Random Forest (RF) models.