Artificial intelligence spending is only going up across the whole of the tech industry. These two companies stand to benefit from all of it.

The #1 copy trading platform and the #1 prediction market data platform unite to redefine how the world trades on information ...

Prediction markets are facing backlash over bets related to war, with Polymarket recently archiving some predictions on ...

The prediction markets are booming, with people able to "bet" on anything from sports to geopolitical event outcomes on these ...

Traders are moving beyond sports bets and elections to price "unpriceable" geopolitical and policy risks that standard ...

Looking ahead to 2030, our model projects WMT could trade at an average price of $162.00, with a potential range between $121.50 and $202.50. This represents a potential 30.9% return from today's ...

Looking ahead to 2030, our model projects SMCI could trade at an average price of $37.62, with a potential range between $28.22 and $47.03. This represents a potential 20.2% return from today's price.

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

Experimental - This project is still in development, and not ready for the prime time. A minimal, secure Python interpreter written in Rust for use by AI. Monty avoids the cost, latency, complexity ...

Rolling coverage of the latest economic and financial news ...

Abstract: This study develops an Artificial Neural Network (ANN)-based prediction model to estimate the total project cost (TPC) of residential dwellings in Quezon City, the largest local government ...

Robinhood (HOOD) is exactly the kind of underlying where selling volatility can make more sense than trying to predict the next headline-driven price swing — especially after a sharp pullback and with ...