Nature

How AI slop is causing a crisis in computer science

Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Sophelio Launches Data Fusion Labeler (dFL) to Accelerate Sensor Data Preparation for Machine Learning

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization ...
Data Center Frontier

From Silicon to Cooling: Dell’Oro Maps the AI Data Center Buildout

New research from Dell’Oro Group shows how AI is impacting the entire data center infrastructure stack, from record hyperscaler capex and surging AI accelerators to Ethernet ...
IEEE

Defenses in Adversarial Machine Learning: A Systematic Survey From the Lifecycle Perspective

Abstract: Adversarial phenomena have been widely observed in machine learning (ML) systems, especially those using deep neural networks. These phenomena describe situations where ML systems may ...
IEEE

FedTAN: Federated Learning in Internet of Things Data via Transformer with Agile Normalization

Abstract: Interactive data generated by Internet of Things (IoT) devices provides a strong foundation for advancing artificial intelligence. However, the transmission of IoT data poses significant ...