Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.

Data processing for AI models requires a lot of computing power, which usually means bulky, expensive data centers. But researchers are studying how to distribute complex computing tasks among a range ...

In today's increasingly interconnected world, cybersecurity has become a critical concern, especially for hardware and ...

Bigger than New York’s Central Park, the estimated $60 billion project, which has its own natural gas plant, will be one of ...

When enterprise adoption requires server farms full of energy-hungry GPUs just to run basic AI services, we face both an ...

The accruing amount of measurement data is handled with the use of an edge-computing pipeline to outsource the RL training from the embedded control hardware. The inference of the utilized artificial ...

Abstract: This paper presents a distributed computing architecture for solving a distribution optimal power flow (DOPF) model based on a smart ... Since the number of control variables in a realistic ...

Huawei's new AI UBB solution addresses requirements with its four sub-solutions – AI FAN, AI OTN, AI WAN, and ADN. The ...

Leading companies integrate four essential architectural pillars: microservices, edge computing, content delivery networks ...