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 ...

Abstract: This letter proposes a sampled-data, measurement-robust, risk-aware control barrier function (RA-CBF) framework for stochastic systems with measurement uncertainty. In this framework, what ...

One of the largest power grid operators in the U.S. is asking Federal Energy Regulatory Commission (FERC) to only allow large data centers to connect to the grid if there’s enough capacity available ...

As AI continues to dominate the technology landscape, the data underlying the information these artificial intelligence solutions train on is under more scrutiny than ever. According to Research ...

People are now betting on everything. Prediction markets are amplifying those signals. The timing of the U.S. government shutdown. The likelihood of Taylor Swift canceling a tour date. The exact day ...

Abstract: Accurate prediction of pedestrian trajectories is crucial for safe motion planning of autonomous vehicles in urban environments. Many existing temporal and generative models are constrained ...

Disclosure: The views and opinions expressed here belong solely to the author and do not represent the views and opinions of crypto.news’ editorial. I’ve always loved the rush of uncertainty — ...

The update brings real-time forecasting data from Kalshi and Polymarket to Google Finance, as more major platforms move into the growing prediction markets space. Google is incorporating prediction ...

A new technology designed to bring empirical precision to sports predictions is on the horizon. According to the Founder of City Rebels Predictions (CRSPredictions), Osifeso Olamiji, the innovation ...

Python is an open-source general-purpose high-level interpreted programming language most popularly used for web development, and data science. And with Python skills being at an all-time request, ...