Traditional 3D printing relies on trial-and-error methods, manual adjustments, and predefined settings. However, ML ...

Combining concepts from statistical physics with machine learning, researchers at the University of Bayreuth have shown that ...

As demand for real-time intelligence grows, edge AI is well-positioned to continue its substantial impact in many industries.

ERP vendors are improving their wares with more AI features and real-time data management to promote automation, efficiency, ...

AUSTIN, Texas, Feb. 12, 2025 (GLOBE NEWSWIRE) -- Data Science Salon, the most diverse data science and machine learning community in the US, is excited to announce five events held across the country, ...

Pearl is a new production-ready Reinforcement Learning AI agent library open-sourced by the Applied Reinforcement Learning team at Meta. Furthering our efforts on open AI innovation, Pearl enables ...

From predicting shortages to optimizing delivery routes, narrow AI is driving efficiency and unlocking capabilities that were ...

Our goal is to provide a federated learning framework that is both secure, scalable and easy-to-use. We believe that that minimal code change should be needed to progress from early proof-of-concepts ...

The Compass' plans to enhance production capacities in critical medicines come as the Commission also prepares to present its Critical Medicines Act. The proposal was initially expected within the ...