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."
Artificial intelligence (AI) has rapidly become the defining force in business technology development, but integrating AI into applications remains a formidable challenge. According to a recent Gartner survey, 77 percent of engineering leaders identify AI integration in apps as a major hurdle for their organizations. As demand for AI-powered solutions accelerates across every industry, understanding the tools, the barriers, and the opportunities is essential for business and technology leaders seeking to evolve. The Gartner survey highlights a key trend: while AI’s potential is widely recognized, the path to useful integration is anything but straightforward. IT leaders cite complexities in embedding AI models into existing software, managing data pipelines, ensuring security, and maintaining compliance as persistent obstacles. These challenges are compounded by a shortage of skilled AI engineers and the rapid evolution of AI technologies, which can outpace organizational readiness and...