Companies today spend millions of dollars on artificial intelligence. But many of these software projects never leave the testing phase.

Caleb Davies holds a rare title in the prediction market world: Millionaire winner. The middle-aged suburban dad relies on a skilled background in finance and tech, plus computer forecasting tools he ...

Aims To develop and validate DeepAdapter, a novel deep learning algorithm that integrates self-supervised learning (SSL) and unsupervised domain adaptation (UDA) to enhance model generalisability for ...

Prediction-market platform Kalshi recently unveiled a swath of “market integrity” updates that all relate to one thing: stopping illegal trading by insiders. The updates include things like risk ...

The Trump administration is targeting one of the world’s most trusted sources of climate and oceanic data—the Ocean Observatories Initiative (OOI). According to the New York Times, ships will be ...

The authors have declared no conflicts of interest. The authors developed a dual tower neural network in Python (Python Software Foundation, Beaverton, Oregon, USA) using dermatology application data ...

As Florida temperatures climb, so do snake sightings, especially of invasive Burmese pythons, which become more active and easier to spot during warmer months. The Burmese python is a large, ...

Accurately identifying small molecule binding sites on proteins is fundamental to understanding protein function and enabling structure-based drug discovery, yet this critical step remains a major ...

Although XRP's use-case should, in theory, drive long-term upside, it's facing some structural issues that might be difficult to overcome. If history is any guide, these headwinds might fuel even more ...

The bot exploited fleeting moments when “Yes” and “No” contracts briefly summed to less than $1, locking in roughly 1.5%–3% per trade across 8,894 executions. With typical five-minute crypto ...

Eric Gutiérrez, 6th February 2026. A Python implementation of a 1-hidden layer neural network built entirely from first principles. This project avoids deep learning libraries (like TensorFlow or ...