In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

Deep within the source code of this online multiplayer game lies an enigmatic number that puzzles and inspires experts to this day ...

Australia is positioning itself as a global quantum computing leader with a vision to help define a technology roadmap that ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

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

HUIZHOU CITY, GUANGDONG PROVINCE, CHINA, February 9, 2026 /EINPresswire.com/ -- The primary battery manufacturing ...

SHIJIAZHUANG CITY, HEBEI PROVINCE, CHINA, February 11, 2026 /EINPresswire.com/ -- The global construction industry ...

Seven-time world champion Lewis Hamilton believes spectators will struggle to decode how much 2026 F1 car performance is down ...

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...