The home-brewed audio programs known as "Podcasts" are catching on with people who own iPods or other digital-music players, according to a survey -- "29 percent of US adults who own a digital music player have downloaded a podcast, Pew Internet and American Life Project finds. That makes for 9 million podcast listeners. Nearly 50 percent of digital-music player owners younger than 29 years old have tried out podcasts, the survey found, compared with 20 percent of those 29 or older."
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...