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

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...

Recentive Analytics, Inc. v. Fox Corp., No. 23-2437 (Fed. Cir. 2025) – On April 18, 2025, the Federal Circuit upheld the district court’s dismissal of the case on the ground that the patents were ...

Dengue and chikungunya, the two mosquito-borne diseases that frequently circulate at the same time, share the same Aedes ...

Researchers have developed a powerful machine learning framework that can accurately predict and optimize biochar production from algae, offering a ...

Artificial intelligence is reshaping cybersecurity, but much of that progress has focused on cloud and enterprise ...

Image courtesy by QUE.com Artificial intelligence can feel like an abstract concept—something that happens inside massive ...

Companies investing in AI initiatives succeed by focusing on real business value, strong data readiness, and securing employee buy in across teams.

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

Faraz Ahmad, MD, and Marie-Noelle Langan, MD, discuss the role of artificial intelligence (AI) for cardiac care within ...

Sophisticated chatbots use machine learning, natural language processing, and large-language models to handle more complex ...

Not long ago, shopping online meant opening multiple tabs, comparing prices, reading reviews, and  second-guessing every decision. Today, that process already feels exhausting. In the near future, it ...