Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic ...

Artificial intelligence has moved from crunching physics data in the background to actively proposing new theories and ...

In modern financial markets, recognizing trends is essential for investors seeking profits. Stock databases, or Stock DB, ...

Musculoskeletal (MSK) conditions drive a large share of global pain, disability, and lost productivity. Rehabilitation can be effective, but outcomes vary ...

Firms integrating AI and machine learning into their investment processes are building compounding advantages that late adopters may never overcome.

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

Aston Martin’s chief architect and team principal Adrian Newey believes Formula 1’s latest buzzword is actually one of its ...

New Aston team principal Adrian Newey says the AI tools fans talk about aren’t what F1 teams rely on ...

AI algorithms analyse complex medical images with speed and precision, supporting early disease detection.Radiology and ...

AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

As high-throughput genomic sequencing generates increasing data volumes, researchers face challenges in identifying functional gene regions within DNA ...