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."
The global semiconductor industry is experiencing a historic acceleration driven by surging investment in artificial intelligence (AI) infrastructure and computing power. According to the latest IDC worldwide market study, 2025 marks a defining year in which AI's pervasive impact reconfigures industry economics and propels record growth across the compute segment of the semiconductor market. Semiconductor Market Development IDC’s latest data reveals an insightful projection: The compute segment of the semiconductor market is on track to grow 36 percent in 2025, reaching $349 billion. This segment, which encompasses logic chips powering CPUs, GPUs, and AI accelerators, will sustain a robust 12 percent compound annual growth rate (CAGR) through 2030. These numbers underscore not only current momentum but a structural shift driven by large-scale adoption of AI workloads spanning cloud, edge, and on-premises deployment models. The scale of investment is unprecedented. As organizations ...