Sling Media has finally launched their much anticipated Slingbox that allows users to access their home television service from anywhere in the world -- The Slingbox enables consumers to watch their own satellite, terrestrial or cable television service or personal video recorder programming, using any internet-connected Windows XP laptop or desktop personal computer. Aiming to provide access to television anywhere, anytime, the Slingbox device allows users to placeshift their viewing, in addition to the timeshift possible with a digital video recorder. The Slingbox is a distinctively designed, brick-shaped product that is simply connected to an existing video source in the home and a home network router. The Slingbox redirects a single stream of audio and video to a personal computer running the SlingPlayer software application. The remote player could be anywhere in the home, or, with a broadband internet connection, anywhere in the world. �The Slingbox clearly defines a new era for television viewing,� said Blake Krikorian, Sling Media co-founder and CEO. �Our goal is to enhance the TV-viewing experience by allowing people easy access to their living room television content, no matter their location: around the house or around the world.�
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...