A recent study by researchers at Mohammed V University in Rabat finds that Morocco’s economic growth depends more on the ...

This study provides important evidence that negative affect is associated with slower cognitive processing in daily life, with findings replicated across three independent samples and supported by ...

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 ...

├── src/ # Source code │ ├── data_utils.py # Data generation and loading utilities │ ├── models.py # Time series forecasting models │ ├── visualization.py # Visualization utilities │ ├── main.py # ...

To model potential structural shifts in the data that depend on their historical values, different smooth transition autoregressive models are constructed and compared for the changes in the ...

Abstract: The vector autoregressive (VAR) model is extensively employed for modelling dynamic processes, yet its scalability is challenged by an overwhelming growth in parameters when dealing with ...

Objectives Families offer promising targets for mental health interventions. Existing evidence investigates parent-child dyads or partners; we use an innovative approach to look at triads of parents ...

In a world where side hustles and passive income are the new status symbols, Launch Vector is turning heads with a lifestyle-friendly approach to e-commerce investing. The Wyoming-based company offers ...

This paper employs a Bayesian Vector Autoregression model to capture interdependencies of global variables and simulates global risks using the empirical joint distribution of global shock as captured ...

TORONTO, April 10, 2025 (GLOBE NEWSWIRE) -- Canada’s Vector Institute has unveiled the results of its independent evaluation of leading large language models (LLMs), offering an objective look at how ...

DeepSeek and OpenAI’s o1 models performed the best across the various benchmarks, but all models still struggle in a range of tasks, so there is much more work to be done. AI models are advancing at a ...