Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Slomp Filho, M. (2026) Copyright in Generative Artificial Intelligence. Beijing Law Review, 17, 1-10. doi: ...

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

Author Shawn Peters blends clarity and rigor to make data structures and algorithms accessible to all learners. COLORADO, CO, UNITED STATES, January 2, 2026 /EINPresswire.com/ — Vibrant Publishers ...

Abstract: Deep learning models have achieved impressive results across various image processing and computer vision tasks. However, they often require large datasets, lack transparency, and struggle ...

Applications are expected to be always-on, lightning fast, and endlessly scalable—whether it's powering global ecommerce, enabling real-time analytics, or supporting AI-driven services. The ability to ...

Forbes contributors publish independent expert analyses and insights. Anisha Sircar is a journalist covering tech, finance and society. A preliminary TikTok deal proposes U.S. investors own 80% of its ...

NEW YORK, July 9 (Reuters) - TikTok is preparing to launch a standalone app for U.S. users that is expected to operate on a separate algorithm and data system from its global app, laying the ...

Mikel Hernaez receives funding from the Spanish Ministry of Science, Innovation and Universities, the government of Navarra, the EU Department of Defence, the Carlos III Health Institute and the ...

Abstract: Coverage control is a foundational domain within multi-agent systems, which has recently undergone substantial advancements. Model-based and optimization-based control methods have achieved ...