Latest Edge Computing Research News

Edge computing and Kubernetes: Understanding the landscape

Edge computing differs from cloud computing in that information is processed nearer to the source of data. Yet the need for greater speed and efficiency in maximising resources as ever-increasing amounts of data get utilised are a common source of pain in both technologies.

It's not just the data, either. In edge use cases, which range from a security video camera to a remote oil rig, conditions may not always be optimal. As a result, the complexity needs to be managed....

23 May 2023 | Cloud

5G Open Innovation Lab adds e& and 14 start-ups to ecosystem

The 5G Open Innovation Lab has added multinational telecoms company e& to its ecosystem of innovators along with 14 other start-up firms.

The Lab is a global ecosystem of enterprises, start-ups, and industry partners collaborating to build and innovate on new technologies using edge computing and 5G.

E& Group operates in sixteen countries across Africa and the Middle East where it provides services to more than 150 million users every day.

The new...

17 March 2023 | 5G

Demystifying the buzzwords: SASE and SSE markets set for solid growth in 2023

SASE, SSE, or something else? The backstory for each of these buzzwords is as complex as the technology itself. The simple version is that, as enterprises need to modernise their network and security architecture with the demands of a remote workforce, the secure access service edge (SASE) and secure service edge (SSE) markets will see solid growth through 2023.

That is the verdict from telecom analyst Dell’Oro Group and security vendor Axis respectively. Dell’Oro believes...

26 January 2023 | Edge Computing

BrainChip calls for application-based benchmarks in edge AI

Neuromorphic AI chip developer BrainChip believes better metrics are needed to iron out the limitations of current industry-standard performance benchmarks in edge AI.

The company’s findings, part of a new whitepaper, suggest that metrics need to be continually refined upon to measure performance and efficiency in real-world edge deployments.

BrainChip also posits that its neuromorphic processors help to increase performance at low-power while reducing latency. It sees...

24 January 2023 | AI

SK Telecom tests 5G MEC technology in North America

South Korea’s leading telecoms firm SK Telecom has successfully tested its mobile edge computing (MEC) solution and virtualisation technology in North America.

The company used ATSC 3.0 radio waves using SK Telecom’s Media Edge platform to conduct communications with a running vehicle through WIAV-CD, a local broadcasting system.

The test was conducted in the Arlington area near Washington, D.C. in partnership with Sinclair Broadcasting Group, North America’s...

3 January 2023 | 5G

Nokia survey reveals ROI for private wireless networks

Nearly 80% of organisations that adopt private wireless networks expect to or have already seen a return on investment (ROI) within six months, a Nokia survey has revealed.

The research, conducted by GlobalData, aimed to understand the impact private wireless networks have on enterprises. It also found that more than half of respondents had enjoyed reduced costs since installing private wireless technology.

GlobalData surveyed 79 key decision makers at multinational...

15 December 2022 | 5G

IBM builds new AI chip for training deep learning models

IBM has created an upgraded version of its 2021 AI Telum processor to accelerate the development of industrial-scale deep learning models.

Called the Artificial Intelligence Unit (AIU), it is an application-specific integrated circuit that can run any deep learning task, from rapidly processing images to translating spoken languages.

Taking five years to research and develop, the AIU is computational processing hardware that is designed to handle AI calculations...

28 October 2022 | AI

Fortifyedge taps the edge to monitor astronauts’ health in space

Tasmanian start-up Fortifyedge has developed a software that will enable stress, fatigue and other physiological responses in astronauts to be monitored as they travel in space.

The software was created with the support of the Tasmanian government’s Space Technology Seed Fund.

Fortifyedge received funding from the first round of the Seed Fund, alongside the Launceston-based startup Firmus, which is using university telescopes to capture and commercialise data to help...

3 October 2022 | Research

Stanford engineers build more efficient AI chip for edge devices

Stanford University engineers have created a more efficient and flexible AI chip well suited to power AI in tiny edge devices.

The engineers’ chip, called NeuRRAM, is a novel resistive random-access memory (RRAM) chip that innovates on the way current chips process and store data.

AI functionality on tiny edge devices today is limited by the energy a battery can provide. Whilst modern AI chips process and store data in separate locations – a compute unit and a memory...

24 August 2022 | AI

Carnegie Mellon Engineering brings orbital edge tech to nanosatellites

Researchers at Carnegie Mellon University’s (CMU) College of Engineering have received a $7 million (£5.8m) grant for their orbital edge computing initiative.

Coming from the National Science Foundation, the funding will allow the Pittsburgh-based CMU to reimagine nanosatellite capabilities by shaping them into sophisticated edge computing platforms.

CMU anticipates the initiative will build the foundation for use cases across a wide range of novel applications in...