The worldwide retail value of all Digital Terrestrial TV (DTT) Set Top Boxes (STBs) will "blast off" during 2006, and power drive up to more than $10 Billion during 2009, reports In-Stat. In a surprising twist, Australia currently leads the world for consumption of High Definition TV (HDTV) Digital Terrestrial Set Top boxes, with North America running in second place. Europe has been the unit shipment and market value leader for several years, and is poised to become the long-term dominating force if the 2006 World Cup Football matches drive strong uptake for new Digital Terrestrial products. Japan and China have emerging markets for DTT STBs that support High Definition. The study also found a greater number of countries are turning on local Digital Terrestrial TV broadcasts, and this trend is beginning to accelerate. In the U.S., US Digital TV (USDTV) is tying together the bit streams of up to six local Digital Terrestrial TV stations, and offering a low-cost alternative to Cable TV services. The next phase of development is focused on advanced set top boxes that support new video Coder/Decoders (Codecs) and include hard disk drives and support for PVRs. China is expected to turn on their local Digital Terrestrial TV services during 2007, and this will drive large unit shipments of entry-level HDTV set top boxes in 2008 and 2009.
Enterprise AI adoption keeps running into the same wall: the moment sensitive data, model weights, or agent memory leave a tightly controlled environment, security teams lose visibility into what happens to them while the workload is actually running. Confidential computing exists to close that gap, and new research from ABI Research shows the technology has matured enough, across CPUs, GPUs, containers, and now agentic AI, to become a foundational requirement for enterprises building sovereign AI infrastructure: computing environments they control end to end rather than simply rent. Protection is Moving From CPUs to GPUs ABI Research finds that CPU-based confidential computing is closest to mass-market adoption, the product of years spent hardening chip-level isolation for general workloads. GPU-based confidential computing is now generating the strongest momentum, and for good reason. It addresses one of the largest unresolved gaps in AI security: protecting data and models while inf...