Prediction markets are grabbing headlines, but the two biggest names in it, Polymarket and Kalshi, aren't publicly traded.

As previously announced, Xanadu is advancing its business combination with Crane Harbor and a newly formed public company, Xanadu Quan ...

Looking ahead to 2030, our model projects SMCI could trade at an average price of $35.77, with a potential range between $26.83 and $44.72. This represents a potential 9.6% return from today's price.

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 ...

AI agents like Claude Code are reshaping software development by automating legacy modernisation and routine coding. A recent ...

After the US president suffered a defeat at the hands of the supreme court on Friday, which struck down his sweeping “liberation day” tariffs imposed last year, he angrily reacted by announcing a 10% ...

DraftKings missed the mark with its guidance for this year as it plans steep investments in prediction markets. The lines between sports betting and prediction markets are already blurry, but ...

Tanjga guided for Q1 2026 cloud subscription revenue between $119 million and $121 million, and total revenue between $189 million and $193 million. "Adjusted EBITDA for the first quarter of 2026 is ...

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 ...

Upstart developed an algorithm that uses AI to determine the creditworthiness of potential borrowers. The algorithm is proving very popular with consumers and banks, with Upstart's loan originations ...

Caution on crypto trading weighed on Robinhood’s fourth-quarter sales and stock, but executives at the trading app downplayed the impact and talked up the prospect of a “supercycle” in the prediction ...

We use uv for fast, reproducible dependency management. There are two options for preparing the dataset: Use our preprocessed dataset. Preprocess the dataset yourself: first download the raw dataset ...