Data centers use an estimated 200 terawatt hours (TWh) of electricity annually, equal to roughly 50% of all electricity currently used for all global transport, and a worse-case-scenario model ...

AI delivers value by transforming data into usable intelligence—supporting capabilities such as real-time analytics, anomaly detection, predictive maintenance, and automated decision-making. Meanwhile ...

With the emergence of artificial intelligence (AI), smart devices and the Internet of Things (IoT), businesses increasingly need to instantly process large amounts of data, especially for real-time ...

Edge computing is witnessing a significant interest with new use cases, especially after the introduction of 5G. The 2021 State of the Edge report by the Linux Foundation predicts that the global ...

The partnership between Lantronix and Safe Pro Group reflects a broader transformation in how intelligence, security and autonomy converge at the edge. As defense and autonomous systems evolve, the ...

This video is part of TechXchange: AI on the Edge. You can also check out more TechXchange Talks videos. NXP Semiconductors provides a range of hardware and software tools and solutions that address ...

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation. The deployment of ML models on embedded edge devices, characterized by ...

The momentum to take compute and data closer to the edge is increasing. However, today’s data explosion and evolution of end devices raise the need for network infrastructure that can support massive ...

The worldwide edge computing market is exploding, expected to grow over 12 percent annually to $250 billion by 2024, according to IT research firm IDC. The goal of edge computing is to reduce latency ...

From ultra-connected autonomous cars to low-latency AR, VR and gaming: to remain competitive in the digital age, businesses will have little choice but to fully embrace the new opportunities that come ...