Nvidia introduces Diffusion Nemotron, a 60-billion parameter two-tower AI model that uses parallel block processing to speed up text generation.

I’ve received one of AMD’s first official AI developer boxes for testing, and it’s an impressive piece of AI hardware with a ...

Google DeepMind's new report maps four pathways from AGI to artificial superintelligence. Here's how scaling, paradigm shifts ...

Abstract: Distributed data-parallel training (DDP) is prevalent in large-scale deep learning. To increase the training throughput and scalability, high-performance collective communication methods ...

NATO has taken a major step toward modernizing its digital backbone, signing a multi-million-dollar contract with Google Cloud to bring advanced, sovereign cloud and AI capabilities into its most ...

Elephas is an extension of Keras, which allows you to run distributed deep learning models at scale with Spark. Elephas currently supports a number of applications, including: Data-parallel training ...

The recent emergence of DeepSeek’s remarkably cost-efficient large language models has sent shockwaves through the AI industry, not just for what it achieved, but for how efficiently it achieved it.

Summary: A new study uncovers constant communication between the human brain’s social cognitive network, responsible for understanding others’ thoughts, and the amygdala, known for processing fear and ...

At the heart of Apache Spark is the concept of the Resilient Distributed Dataset (RDD), a programming abstraction that represents an immutable collection of objects that can be split across a ...