Americans are spending slightly less time online that they did a year ago, while some of their counterparts in Asia and Europe are logging longer hours on the Net -- "A study released by Nielsen/NetRatings looked at how much time, on average, people spend online at home. Average usage time for U.S. citizens dipped by 2 percent from a year ago, to 13 hours and 44 minutes a month, the study showed. Hong Kong, conversely, topped the list with its per-person average almost reaching 22 hours a month. The year-over-year growth for Hong Kong was 25 percent. The research firm said emerging Internet markets such as Australia, France, Hong Kong, Italy and Japan could be a better target for Internet companies."
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...