Texas Instruments (TI) is working with Microsoft on future versions of Windows Mobile-based Portable Media Centers. The development is based on a TI system-on-a-chip (SOC), a highly- integrated Digital Media processor targeted specifically for portable applications, capable of supporting QVGA resolution for Windows Media Video 9, as well as up to D1 resolution of other commonly used video formats. TI's Digital Media processor is a multi-core device, embedding a digital signal processor (DSP) and an ARM core. It has an integrated peripheral set, supporting the base Portable Media Center requirements, as well as many of the additional options available to Portable Media Center developers. It features an integrated video encoder, hardware video accelerators and USB host capabilities. "Portable Media Centers have created new opportunities for people to take their entertainment -- video, photos and music -- with them anywhere, anytime," said John Pollard, director of Windows Mobile Applications and Services Marketing at Microsoft Corp. "TI's Digital Media processors will help our Windows Mobile-based device manufacturers deliver more choices as the category continues to evolve and expand."
In the past decade, many organizations have pursued a singular vision of cloud-centric transformation; consolidating data, applications, and compute into centralized datacenters managed by hyperscalers. Yet, the explosive growth of connected devices, the rise of Applied-AI and real-time data requirements, and new operational models are reshaping that paradigm. Edge computing — the practice of processing data closer to the source where it is generated — has moved from niche experiment to strategic imperative. According to the latest market study by International Data Corporation (IDC), edge computing is now the new core in the distributed Global Networked Economy. Edge Computing Market Development IDC forecasts global spending on edge computing solutions will reach approximately $450 billion by 2029, that's up from $265 billion in 2025, driven by rapid advancements in edge-based AI workloads, distributed architectures, and enterprise transformation initiatives. Several key data poin...