This is a guest blog by Trent R.Hein, Co-CEO of Rule 4. Once in a while an opportunity comes along that brings out our inner geek like no other, which is what happened when Canonical asked if we’d be willing to review the overall cybersecurity model of Ubuntu Core and its ecosystem.
Charmed OSM and Managed Apps let telecom operators accelerate adoption of NFV. This is needed because the way we consume data has changed. We want data at a cheaper price with faster speeds and in larger quantities. To meet the challenge, telecom operators are changing the underlying network infrastructure that delivers data. Software-defined networking (SDN) and network function virtualisation (NFV) are enabling this by lowering costs and improving infrastructure flexibility.
A world-leading genomic research centre, the Wellcome Sanger Institute uses advanced DNA sequencing technology for large-scale studies that surpass the capabilities of many other organisations. Among other works, the Institute is currently heading the UK-wide Darwin Tree of Life Project to map the genetic code of 60,000 complex species.
Damn it March. 2020 was doing so well. The biggest news last month was the dramatic escalation of COVID-19. We won’t go into any detail, I’m sure you’re seeing enough of that. But due to the outbreak, the state of robotics this March has been, heartwarming. We have seen a surge in online learning platforms, companies, startups and communities rising to the challenge.
The stable release of LXD, the machine container hypervisor, is now available. LXD 4.0 is the third LTS release for LXD and will be supported for 5 years, until June 2025. This version comes with a significant amount of new features including adding virtual machines (VMs) support, the introduction of projects and improved networking, storage and security capabilities.
In part 1 we talked about the industrial applications and benefits that 5G and fast compute at the edge will bring to AI products. In part 2 we went deeper into how you can benefit from this new opportunity. In part 3 we focused on the key technical barriers that 5G and Edge compute remove for AI applications. In this part we will summarise the IoT use cases that can benefit from smart cell towers and how they will help businesses focus their efforts on their key differentiating advantage.
In part 1 we talked about the industrial applications and benefits that 5G and fast compute at the edge will bring to AI products. In part 2 we went deeper into how you can benefit from this new opportunity. In this part we will focus on the key technical barriers that 5G and Edge compute remove for AI applications.
In part 1 we talked about the industrial applications and benefits that 5G and fast compute at the edge will bring to AI products. In this part we will go deeper into how you can benefit from this new opportunity.
