Historically, data center design was linear: Size the facility to meet demand forecasts and hope for the best. Power and ...

Shift verification effort from a single, time-consuming flat run to a more efficient, distributed, and scalable process.

This is crucial, especially for data mesh, where everyone becomes a data user, and metadata, where everyone should access data knowledge. Without an anthropological and psychological perspective on ...

The TRM takes a different approach. Jolicoeur-Martineau was inspired by a technique known as the hierarchical reasoning model ...

Climate scientist Nadir Jeevanjee speaks on The Conversation Weekly podcast about how the pioneers of climate modelling got many of their predictions right.

The protocol offers a standardized framework that defines how AI systems securely connect with trusted, validated knowledge ...

The rise of the Model Context Protocol and composable architectures marks a move toward seamless, connected and ...

Perplexity launches MoE kernels for trillion-parameter AI, lower latency and higher throughput on AWS EFA and ConnectX-7.

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...