Latest machine learning publications
Almost half a year after acquiring AI networking outfit Mist Systems for a cool $405 million, Juniper Networks has announced the next set of Mist AI integrations into the company’s network and hybrid cloud monitoring platform.
Mist’s cloud-based AI wireless service, WiFI Assurance, will be added to Juniper’s platform as a subscription offering. The service uses network data to make wireless networks more reliable, and centres around an AI-powered virtual network assistant called Marvis that uses dynamic packet capture and machine learning technology to automatically identify, adapt and fix network issues.
As cyber security professionals it’s vital to understand these threats and the various tools and solutions available. Steve Ng, Lead Digital Platform Operations of Mediacorp, identifies today’s most pressing threats and the ways in which we can monitor, mitigate and resolve them.
Over the past few decades, technological advances have enabled telecom service providers to consolidate their network infrastructure. The reduction in equipment size, coupled with an improved ability to bridge larger distances, has also allowed service providers to reduce their data centre footprint.
But with the reduction in data centre sites, the modern facility has also become comparatively supersized and energy hungry, mainly due to the never-ending increase of network traffic. To mitigate this challenge, companies such as Verizon are turning to machine learning and data analytics to improve the energy efficiency of facilities.
A two-legged robot which can maintain its balance while running and jumping has been hailed as a breakthrough in robotic engineering by researchers, who say it could one day be deployed in disaster rescue teams.
Scientists have created a green-fingered robot that can prune roses and trim bushes, making light work of gardening chores. Trimbot uses mapping technology to find its way around the garden and performs horticultural tasks with its advanced cutting tools.