Over the past decade, data center services have shifted from predominantly web-centric to cloud-centric. Today, they are shifting once again, this time from the era of cloud computing to the intelligent era. There is a need to filter out and automatically reorganize the information before mining it for useful information. This is where artificial intelligence (AI) comes in. Some 97% of large enterprises around the world intend to use AI by 2025, according to Huawei’s Global Industry Vision (GIV).
The climate impact of artificial intelligence — both in terms of power consumption and all the electronic waste that gadgets create — is a legitimate, growing concern. Research from the University of Massachusetts Amherst suggests the process of “training” neural networks to make decisions or searching them to find answers uses five times the lifetime emissions of the average U.S. car. Not an insignificant amount.
5G is billed as the connectivity fabric that will support a new era of consumer and enterprise experiences. But, in the context of smart buildings, 5G is part of a larger equation that also encompasses artificial intelligence and the internet of things. The combination of the three–5G, AI and IoT–will allow for real-time data collection and analysis that will make buildings more efficient and more user-friendly. Building owners with a robust technology strategy will be able to leverage these rapidly developing solution sets to reduce net operating expense while leveraging the technologies to drive up lease rates by providing new services.
The Asia Direct Cable Consortium has chosen NEC to build its new high-performance submarine cable. The finished cable will feature multiple pairs of high capacity optical fibers designed to carry more than 140 Tbps of traffic to allow for high capacity transmission of data across the East and Southeast Asian regions. As a result of ADC’s high capacity, the new submarine cable will be able to support bandwidth-intensive applications driven by technological advancements in 5G, the cloud, IoT and AI.
Emerging technology programs across the federal government have come together under the common goal of fighting the spread of the coronavirus. AI and other tools such as supercomputing and advanced data analytics will play a significant, if not understated role, in the administration’s long-term response to COVID-19, the disease caused by this strain of the virus.
The explosion in demand for high-resolution video streaming has also impacted the needs of campus networks. Intelligent applications, such as facial recognition systems, are emerging on campuses, adding to the already-high video traffic of video conferencing, media streaming, and VR devices. In addition, the Internet of Things (IoT) is leading to increasing deployments of service robots, intelligent access control, voice devices, and data sensing devices in campuses. While IoT is of significant value to campus networks, it makes the network structure more complex adding even more burden to copper wired networks.
The tools for AI for architecture are just around the corner and will enable us to deliver spaces that perform better and are enjoyable to use. The effects of space on the behavior of occupants is now directly quantifiable, analyzable, and modelable. Crowd simulation software, which has historically been employed to evaluate emergency egress patterns in buildings, can simulate the behavior of crowds of dozens or even thousands of people in a given environment.
Manufacturing plants and operations are each unique in their own way. In this article, we will discuss many of the communications opportunities that can equip new and existing buildings with more agile, resilient, and intelligent digital infrastructure. Manufacturing system architects are leveraging wired, wireless, and optical transport supporting robots, machine vision, production line machines, product transport, sensor arrays, programmable logic controllers (PLCs), and distributed Internet of Things (with future artificial intelligence management overlays) to increase process intelligence, agility, safety, and reduce defects and operational expenses.
A quote commonly found on the internet goes, “Knowledge is knowing that a tomato is a fruit. Wisdom is knowing not to put it in a fruit salad.” Machine learning (ML) would lead to knowing a tomato is a fruit, but artificial intelligence (AI) would suggest not putting it in a fruit salad.
Go!Foton’s EKO platform for AI-capable intelligent management of optical networks incorporates the company’s patented PEACOC spreadable adapter technology and its newly developed on-axial ferrule engagement-sensing mechanisms designed to help wireless and wireline operators satisfy ever-increasing performance standards, while addressing the relentless challenge of fiber densification.