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."
Embodied AI is shifting industrial robotics from precise to perceptive — from rigid automation to adaptive execution in messy, variable production environments. For manufacturers and logistics providers, this isn't just a technology upgrade; it's a structural change in how work gets organized and business value gets created. Industrial robots have long excelled in static workflows: automotive assembly, fixed production lines, repetitive tasks. Where variability or human interaction arose, they stalled or required prohibitive engineering. Embodied AI Market Development Embodied AI changes this by closing the "sim-to-real" gap. According to the latest worldwide market study by ABI Research, AI-augmented robots have reached genuine adaptive automation with tangible ROI for early adopters. The shift rests on robust algorithms — particularly Dynamic Policy Adjustment and robotics foundation models — that learn and adapt in real time rather than following hard-coded rules. ...