A �media center� could be an integral part of every home by 2015. But movies on demand need a willing Hollywood and a super-PVR -- In a recent interview with Japanese web site TechOn, Star Wars director George Lucas discussed the impact of digital movie-making on cinema and touched on the rise of home entertainment servers in the digital home. Lucas is an unabashed devotee of digital film and digital projection � the second Star Wars prequel, Attack of the Clones, was the first movie to be shot entirely using a high-definition 24fps digital camera, Sony�s HDW-F900. The creator of that galaxy far, far away sees a digital future where more Hollywood movies will be shot in this way, more filmmakers will get their work shown and movies will be distributed over the Internet. �I'm not sure how it will actually play out,� Lucas is quoted as saying, �but it seems to be something like the same day and date of a movie being released in a movie theatre, you can also get it over the Internet.� �I think eventually [Internet distribution] will be the future of Hollywood,� Lucas said in another interview, this time with US news channel CNBC. But like many industry observers, he is also realistic about this future happening any time soon.
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...