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Researchers develop open source framework for health AI research

A research team led by Columbia University has developed an open-source framework designed to streamline and accelerate ...

Team develops open-source framework to accelerate health AI research

A research team led by Columbia University has developed an open-source framework designed to streamline and accelerate artificial intelligence research using health data, addressing longstanding ...
techxplore

AI speeds selective and high-yield recovery of critical minerals from industrial waste

A research team at the Department of Energy's Pacific Northwest National Laboratory has deployed AI agents with the potential ...

Data-driven model captures dynamics of turbulence at scale

Whether the dust borne on the violent winds of a tornado or the sugar grains in a swirled cup of coffee, the behavior of ...
IEEE

ML-EMFI: A Machine Learning-Driven Pre-Silicon Electromagnetic Fault Injection Security Evaluation for Robust IC Design

Abstract: Electromagnetic Fault Injection (EMFI) is a critical threat to the security and reliability of integrated circuits (ICs), capable of causing data corruption, system failures, and information ...
IEEE

AutoML-Pipeline: A RAG-Enhanced Code Generation Framework With Pre-Validation for Cloud-Native Machine Learning Workflows

Abstract: The proliferation of cloud-native machine learning platforms has significantly accelerated model development and deployment cycles. However, constructing and maintaining heterogeneous ...