The first major catalyst for the Ethereum price is that demand for its staking is still soaring this year. Data compiled by StakingRewards shows that there has been a net increase of 777k staked ETH ...

Three researchers at the US Federal Reserve argue that prediction market Kalshi can better measure macroeconomic expectations ...

Research is casting prediction markets as policy-relevant forecasting tools just as state regulators escalate efforts to curtail their use.

India, Feb. 19 -- Whatever one may say, despite the dire and extreme negative predictions, America seems to be on an economic roll. President Donald Trump's radical, wayward, chaotic, confusing, ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

In a collaboration between several labs at UNC Lineberger, researchers have defined cancer-associated fibroblast (CAF) subtypes that are clinically robust, prognostic, and predictive of immunotherapy ...

A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...

SeaCast is an innovative high-resolution forecasting system for the Mediterranean that harnesses AI to deliver faster and ...

In an early test of how AI can be used to decipher large amounts of health data, researchers at UC San Francisco and Wayne ...

Abstract: The goal of this paper is to establish an analysis and prediction model of bioengineering experimental data combining big data and deep learning (DL), so as to improve the analysis ...

As sports betting continues to skyrocket, prediction markets are winning the attention of younger, inexperienced betters.

Dự án này xây dựng các models Machine Learning để dự đoán chỉ số chất lượng không khí (AQI) dựa trên dữ liệu lịch sử về các chất ô nhiễm như CO, NO, NO2, O3, SO2, PM2.5, PM10, NH3. aqi-prediction/ ├── ...