WLRN

They quit their day jobs to bet on current events. A look inside the prediction market mania

Prediction market apps are thriving in Trump's second term, with traders betting on migrant deportations to election outcomes ...
GitHub

Toto - Time Series Optimized Transformer for Observability

Toto is a foundation model for multivariate time series forecasting with a focus on observability metrics. This model leverages innovative architectural designs to efficiently handle the ...

Data Historians: Turning ‘Digital Landfills’ Into Strategic Assets

In a recent installment of the International Society of Automation’s “Ask the Automation Pros” series, Erik Cornelsen, ...
IEEE

Harnessing Forecast Uncertainty in Deep Learning for Time Series Anomaly Detection with Posterior Distribution Scoring

Abstract: Time series anomaly detection tools (TSAD) are widely applicable across industries, such as monitoring time series data of water pipeline pressure, network traffic activities, and hardware ...
IEEE

Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation

Abstract: Multivariate time series forecasting (MTSF) endeavors to predict future observations given historical data, playing a crucial role in time series data management systems. With advancements ...