The number of U.S. video game players has increased 11.4 percent to 76.2 million, up from 67.5 million a year ago, according to a random survey of 1,500 households conducted by Ziff Davis Media. "We're seeing a broadening of the gamer base as gaming goes more mainstream, and simultaneously a heightening of intensity among core gamers," said John Davison, vice president and editorial director of Ziff Davis Media Game Group. The study also found that 24 percent of gamers reduced their TV watching over the last year, watching on average 16 hours per week compared with 18 hours per week in 2004. Console games are increasing their gains over PC games, after topping PC games in popularity for the first time in 2004. Currently, 62.6 million households play console games and 56.6 million play PC games, versus 54.5 million and 52.3 million, respectively, in 2004. In the mobile gaming sector, the survey found that 86 percent of gamers own a cell phone, up from 70 percent a year ago, and that 48 percent play games on their phones.
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...