Artificial intelligence is quietly rewriting one of the oldest problems in data science: predicting what happens next. A new ...

Malaysian researchers have built a hybrid CNN-LSTM traffic forecasting system that pairs deep learning accuracy with Formal ...

A research team in eastern Sri Lanka developed a prototype that combines connected sensors with artificial intelligence to ...

Crypto price prediction models fall into three broad groups. Technical models analyze historical price, volume, volatility ...

While AI enhances the expressive power of quantitative systems, it does not resolve the low signal-to-noise ratio or ...

When reading AI news and explanatory articles, unfamiliar technical terms appear one after another.Machine learning, deep ...

This study proposes a hybrid CNN–LSTM–XGBoost model that integrates shale oil seismic attributes with macroeconomic indicators to predict global oil prices. The model extracts spatial features from ...

Uncover the latest and most impactful research in Digital and Analog Signal Processing. Explore pioneering discoveries, insightful ideas and new methods from leading researchers in the field. An ...

Explore LLM architectures, general-purpose limitations, and why adapting models through Fine-Tuning and RAG is the real engineering challenge.

Two-stage training. Timestral is first pre-trained at scale on purely synthetic data with context size 8192, then ...

In our Wild Card prediction thread, two people got three of the four series correct: Ritzkiss and Rancy. In the ‘how many games will the series go, Rancy was off by just two games, so he’s the winner.

Mistral Timestral is a time series foundation model family, 5M to 209M parameters, forecasting zero-shot on a CPU.