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 growth trajectory of artificial intelligence (AI) enterprise applications continues to accelerate, and its impact on global IT infrastructure spending is also remarkable. The recent market study by International Data Corporation (IDC) provides compelling evidence of AI's explosive growth and implications for the Global Networked Economy . By 2028, global investment in AI infrastructure is projected to surpass the $100 billion mark, underscoring the technology's pivotal role in shaping the future of business and society. Artificial Intelligence Infrastructure Market Development This growth is not a sudden phenomenon but rather the result of sustained investment over time. The AI infrastructure market has experienced double-digit growth for nine consecutive half-years, with no signs of slowing down. In the first half of 2024 alone, organizations increased their spending on compute and storage hardware infrastructure for AI deployments by 37 percent year-over-year, reaching an...