AI doesn’t scale on models alone. It requires the same focus on infrastructure, shared open-source standards and systems that ...

Google DeepMind unveiled a way to train advanced AI models across distributed data centers. Known as decoupled distributed low-communication (DiLoCo), the architecture isolates local disruptions such ...

In the fast-changing digital era, the need for intelligent, scalable and robust infrastructure has never been so pronounced. Artificial intelligence is predicted as the harbinger of change, providing ...

For nearly a century, electric utility business models have been shaped by a simple premise: build infrastructure, earn a regulated return on equity, and grow the rate base. This framework helped ...

Decarbonization efforts are rapidly reshaping the electric grid. Distribution systems no longer represent a passive load connected to a substation transformer. Each year brings new significant ...

Gaurav Bansal is a Senior Staff Software Engineer at Uber with 12+ years of experience in scalable, high-performance distributed systems. Every new tech business today builds distributed systems and ...

How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient reasoning systems. While large language models are useful for chatbots, Q&A ...

The specification will support distributed workflows coordinated across various development and execution environments. These workflows may be carried out by physical devices, virtual devices or ...

A distributed system is comprised of multiple computing devices interconnected with one another via a loosely-connected network. Almost all computing systems and applications today are distributed in ...

Planning and operating a power system requires detailed grid studies to guide investment decisions and prepare for how the system may evolve over time. Long-term planning can identify the policy, ...