Neural networks are one typical structure on which artificial intelligence can be based. The term ›neural‹ describes their learning ability, which to ...

When it comes to artificial intelligence, context is everything. The same thing holds true for human intelligence, so it ...

Parallel's tech is meant to offer companies a more energy efficient and safer solution for short-distance freight deliveries.

Ayesha Afzal is a researcher working towards the PhD at the professorship for High Performance Computing at Erlangen National ...

Daemons may also be deployed remotely for distributed computing and launchers can start daemons across the network via (tunnelled ... and complex objects such as models and optimizers to be used ...

This article appears in the May 2025 print edition with the headline “The New King of Tech.” ...

This trend, coupled with the rise of mobile edge computing (MEC), presents a unique ... formulation to prioritize tasks based on deadlines, while parallel computation employs a non-cooperative ...

However, SU methods based on representation models have limited capability ... this article proposes a parallel dynamic multihop graph and composite multiscale convolution network for SU, referred to ...

The exploding demand for multi-provider AI compute underscores the need for flexible, cost-efficient parallel computing. Parallel Works envisions a future where computing is more dynamic, empowering ...

Part of the surge in demand comes from data centers, and their increasing thirst for power comes in part from running increasingly sophisticated AI models. As with all world-shaping developments, what ...