At the edge Models are built on the cloud and applied at the edge. Moving data from inspection/metrology systems to the cloud to make a decision to execute back at the system is simply impractical.

Since 2021, Space42 has logged over 600,000 kilometres of autonomous driving and completed 20,000 passenger trips through ...

Space42  has signed a Memorandum of Understanding (MoU) with e& UAE to develop, test, and deploy Vehicle-to-Everything (V2X) ...

ASUS AI POD built on the NVIDIA GB300 NVL72 platform and latest AI Servers XA NB3I-E12 accelerated by the NVIDIA HGX B300 system now shipping for enterprise AI ...

The IBM-Euskadi Quantum Computational Center now offers its members access to one of the most powerful quantum computers in ...

Neuraspace is using Edge computing - and some impressive telescopes - to avoid collisions in orbit ...

Technology stocks have been powering the broader market rally this year, driven by strong earnings and enthusiasm around ...

Specialized cloud solutions continue to drive multicloud adoption as AI requirements and compliance regulations grow.

Although deploying AI at the Edge is generally beneficial, organisations may unintentionally expose themselves to ...

The Mountain View, California-based tech giant’s largest investment in India pushes Big Tech’s ‘announced’ AI infrastructure ...