Researchers at Seoul National University and Kyung Hee University report a framework to control collective motions, such as ring, clumps, mill, flock, by training a physics-informed AI to learn the ...

Move comes as Snowflake and Databricks chase the same all-in-one analytics dream Google is promising a single notebook environment for machine learning and data analytics, integrating SQL, Python, and ...

Edo Liberty, Founder and Chief Scientist at Pinecone, is a leading expert in large-scale data systems and machine learning. Before launching Pinecone—the vector database built for performance and ...

Indian Institute of Technology Delhi has announced the second batch of its Certificate Programme in Applied Data Science & ...

FICO established its own ranking algorithm to ensure its proprietary finance-specific AI models do not hallucinate.

Scientists have mapped underappreciated scaffolding cells in skin, known as fibroblasts. They show for the first time how fibroblasts go ‘rogue’ in many different diseases affecting multiple organs – ...

Real-time data processing has become essential as organizations demand faster insights. Integration with artificial ...

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...

The review documents a sharp increase in healthcare XAI research since 2018, reflecting the surge of machine learning ...

CCS is scaling fast with 41 plants running today and 350 plus projects in development and new clusters linking emitters to ...

Quantum machine learning is a hybrid approach that combines classical data with quantum computing methods. In classical computing, data is stored in bits encoded as a 0 or 1. Quantum computers use ...

Abstract: The rapid growth of industrial Internet of Things (IoT) devices presents significant opportunities for federated learning to advance secure machine learning in industrial IoT systems.