Databricks' Instructed Retriever beats traditional RAG data retrieval by 70% — enterprise metadata was the missing link

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...
Hespress on MSN

Study finds quality of PPP investment key to Morocco’s long-term growth

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

A Comparative Multivariate Analysis of VAR and Deep Learning-Based Models for Forecasting Volatile Time Series Data

Abstract: The existing literature on forecasting time series data is primarily based on univariate analysis and techniques such as Univariate Autoregressive (UAR), Univariate Moving Average (UMA), ...
GitHub

DiffusionVL: Translating Any Autoregressive Models into

The diffusion paradigm has emerged as a promising alternative to autoregressive (AR) models, offering the potential for efficient parallel decoding. However, existing diffusion vision language models ...
GitHub

WorldVLA: Towards Autoregressive Action World Model

WorldVLA is an autoregressive action world model that unifies action and image understanding and generation. WorldVLA intergrates Vision-Language-Action (VLA) model (action model) and world model in ...
eLife

Daily life fluctuations in affect predict within-person changes in a real-world measure of cognitive processing speed

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 ...
IEEE

An Online Strategy for Nonlinear Vector Autoregression

Abstract: Nonlinear vector autoregression (NVAR), as an effective alternative to traditional reservoir computing (RC), has garnered significant attention in the field of time series prediction in ...