When most people think of computer simulations, they imagine sleek graphics or Hollywood-style animations. But for Tayfun ...

Mher Ghulinyan, PhD, Fondazione Bruno Kessler, explores the integration of photonics and electronics to develop a quantum ...

Left: Taxonomy of LLMs for time series analysis. If we outline typical LLM-driven NLP pipelines in five stages - input text, tokenization, embedding, LLM, output - then each category of our taxonomy ...

A time series is a sequence of numerical data points in successive order. In investing, it tracks the movement of the chosen data points at regular intervals and over a specified period of time.

Economists say unbiased data is essential for policymaking, and for democracy.

Deep learning (DL) models can be used to tackle time series analysis tasks with great success. However, the performance of DL models can degenerate rapidly if the data are not appropriately normalized ...

The Wheel of Time TV series takes the book's powerful women character and revises their stories and stereotypes for the better.

The Growing Importance Of Real-Time Data The surge in real-time data adoption is driven by its ability to enable actions and decisions that were previously inefficient or impossible.

The exploratory visual analysis (EVA) of time series data uses visualization as the main output medium and input interface for exploring new data. However, for users who lack visual analysis expertise ...

An open data architecture eliminates silos and allows data teams to collaborate on the same data, deliver data reliability and easily manage data. This kind of architecture is beneficial for ...