A fungus that can wipe out up to 50% of a sugar beet crop may soon meet its match in a new generation of smart disease ...

A deep learning project that uses Long Short-Term Memory (LSTM) neural networks to predict Apple (AAPL) stock prices. The project includes data collection, model training, evaluation, and a web-based ...

Overview: Poor data validation, leakage, and weak preprocessing pipelines cause most XGBoost and LightGBM model failures in production.Default hyperparameters, ...

Machine learning-driven carrier risk modeling enables supply chains to predict and prevent pickup defects, reducing costs and improving on-time performance.

The state accused Kalshi of operating an illegal gambling business, escalating the legal battle between states and prediction markets. By Natallie Rocha and David Yaffe-Bellany Arizona’s attorney ...

Prediction markets have long promised to aggregate insights about future events. Increasingly, those signals are coming not just from people, but from machines. According to David Minarsch, CEO and co ...

The Oklahoma City Thunder play the New York Knicks on Wednesday, and if you’re looking to do some last-minute betting research, you’re in luck! We’ll give you the latest point spread, money line odds ...

The odds are 100 percent that the further infiltration of prediction markets into the public square and political decisions is going to make our lives worse. Recently announced partnerships—Polymarket ...

Kalshi, Polymarket turn to top lawyers in regularory challenges Trade attorneys swamp court with tariff refund cases Longford sues for share of patent settlement Feb 26 (Reuters) - (Billable Hours is ...

Researchers tested whether generative AI could handle complex medical datasets as well as human experts. In some cases, the AI matched or outperformed teams that had spent months building prediction ...