Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Here’s how an AI-powered trader earned $2.2 million on Polymarket using data models, automation and probability-based trading ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

where $l$ and $u$ are the lower and upper probability bounds, while $\phi$ and $\psi$ denote propositional logic formulas. For example the following two sentences ...

📢 BREAKING NEWS: We released Chronos, a suite of pretrained models for zero-shot time series forecasting. Chronos can generate accurate probabilistic predictions for new time series not seen during ...

Abstract: In this paper, a simplified algorithm is implemented to develop a probabilistic fracture mechanics code using python programming language. This code is able to predict the service life of a ...

Abstract: This paper provides a prototype of an Electric Vehicles Load Profile Generator based on the probability density function of several parameters such as arrival time, total connection time, ...

A paper co-authored by Prof. Alex Lew has been selected as one of four "Outstanding Papers" at this year's Conference on Language Modeling (COLM 2025), held in Montreal in October. Lew and his ...