Introducing the TelluBase U.S. Recession Predictor

Building on Ben Bernanke’s widely used recession probability model, we invented a better model using exactly the same ...
The Lancet

Epileptic activity in Alzheimer's disease: emerging insights and therapeutic implications

An estimated 60% of patients with Alzheimer's disease develop epilepsy or subclinical epileptiform activity over the course of the disease. New-onset seizures in cognitively healthy adults also ...
IEEE

Multivariate Correlation Self-Distillation Transformer for Time Series Forecasting With Incomplete Data

Abstract: Multivariate time series forecasting estimates future development by capturing variable relationships and constructing temporal regular, which is widely used in many scenarios, including ...
GitHub

BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models

Code for our SIGKDD'25 paper: "BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models". The advent of universal time series forecasting models has revolutionized zero-shot ...
Time

AI Is Learning to Predict the Future—And Beating Humans at It

Reactions to Kimmel's suspension, Trump publicly rebukes Putin, and more Length: Long Speed: 1.0x Every three months, participants in the Metaculus forecasting cup try to predict the future for a ...
IEEE

Vision-Based Time Series Crowd Forecasting Using Semi-Supervised Learning

Abstract: Crowd forecasting is a crucial component of public safety, urban planning, and event management, enabling proactive decision-making based on anticipated crowd dynamics. Traditional ...
Scientific Research Publishing

Tiwari, V., Thorp, K., Tulbure, M. G., Gray, J., Kamruzzaman, M., Krupnik, T. J. et al. (2024). Advancing Food Security: Rice Yield Estimation Framework Using Time-Series ...

ABSTRACT: Bangladesh, an emerging economy, is one of the most vulnerable countries to the impacts of climate change. Communities living in climate hotspots experience severe consequences, and ...
Frontiers

Modeling and forecasting of the high-dimensional time series data with functional data analysis and machine learning approaches

Temperature impacts every part of the world. Meteorological analysis and weather forecasting play a crucial role in sustainable development by helping reduce the damage caused by extreme weather ...
Business Insider

To avoid product shortages, big retailers are scrapping reactive methods for AI

Retailers like Target and Walmart use AI to prevent stockouts and manage inventory. AI systems can predict demand to help improve inventory accuracy and availability. This article is part of "How AI ...