In-Stat research reveals that cell phone users have mixed feelings about predicted new handset features -- "According to a proprietary survey of cell phone users by the high tech research firm, Wi-Fi- and Skype-enabled handsets, voice activation for text input, and mapping and traffic routing features resonate well. However, few respondents expressed interest in wireless phones that could be used as a wallet for purchases, or for watching TV programs. 42% of the respondents were very or extremely interested in voice activation for their wireless phones. More than 4 in 10 were very or extremely interested in buying a wireless phone with built-in Wi-Fi for voice and data. Just 12% had an interest in buying a wireless phone capable of receiving TV broadcasts. The report, Future Cell Phones: The Big Trends, 2005-2010, forecasts when new trends in mobile phone features and services are likely to take off."
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...