In 2019, Apple announced its decision to invest $1 billion to purchase most of Intel’s modem development unit.
The steel industry dates back to the 19th century and played a central role in the Industrial Revolution, which paved the way for the modern world. Steel continues to be a dominant iron alloy as it it’s used in construction, manufacturing, mechanical engineering, and other verticals. But steel production is both environmentally harmful and dangerous to workers. To address these two conundrums, steel producers must invest in digital transformation.
Today, mobile robots serve as a pillar of the digitization of manufacturing and logistics. As no surprise, Automated Guided Vehicles (AGVs) are at the forefront of modernizing manufacturing and logistics, as they save companies time and money while being highly precise with handling containers, pallets, materials, components, and other important assets. Not to mention, AGVs, like exoskeletons, significantly decrease the risk of workplace injuries.
Very rarely does a technology come along that makes engineers completely rethink product development. Generative design is one such innovation and it is propelling the manufacturing industry into an entirely new realm. Combined with Augmented Reality (AR), the possibilities are limitless.
The modern manufacturer has a plethora of advanced technology options to choose from. For example, mobile robots can streamline assembly line processes and simulation software can shape the product or process design. Whether it’s pressure from the competition, workplace safety, government regulation, or something else entirely, manufacturers have been and will continue to be one of the most significant market opportunities for technology vendors.
Investors and shareholders are increasingly losing their patience with telcos, which have promised that their enterprise revenue will soon overtake their consumer business. At the same time, enterprise end users are not yet convinced that today’s 5G can address their pressing key pain points in line with the IMT-2020 vision most 5G suppliers are preaching.
Augmented Reality (AR) has an important role to play in the modern and future workplace—remote assistance, training, workflow guidance, and knowledge capture can all be realized with AR deployment. However, integrating AR into existing platforms has proven to be a formidable challenge to early adopters because of the complexity of Information Technology (IT) and Operational Technology (OT) cohesion. Ultimately, Return on Investment (ROI) from AR technologies will be heavily dependent on how seamless the integration process is.
Machine Learning (ML) is increasingly being integrated into edge computing solutions. ML at the edge improves the user experience via latency reduction, near-real-time data analysis, privacy, and security. Vendors are stepping up to the plate to provide services and platforms that streamline processes and reduce the time to market. In this post, you'll read about five examples of edge ML to better conceptualize this helpful combination.
According to ABI Research forecasts, the total installed base of devices with Artificial Intelligence will grow from 2.7 billion in 2019 to 4.5 billion in 2024. Billions of petabytes of data flow through AI devices every day. However, right now, most of these AI devices are working independently of one another. Yet, as the volume of data flowing through these devices increases in the coming years, technology companies and implementers will take advantage of multimodal learning – and it is fast becoming one of the most exciting and potentially transformative fields of AI.
With smart home applications becoming ever-more popular, and with households making heavy use of streaming multimedia services, the growing demand for reliable, high-capacity home networking technology shows no sign of slowing down. As a result, Wi-Fi, which has been the dominant player in the home network market for years, may be facing some competition from two wired networks: G.hn and Multimedia over Coax Alliance (MoCA) 2.5.