About half of all U.S. Hispanics with Internet access now connect through broadband at home, according to a new survey by America Online. The number is on par with that of the general online population, despite the fact that Hispanics are "relatively newer to the Internet," according to AOL. Hispanics go online at home an average of 9.2 hours a week, almost an hour more than the general online population, and 70 percent view the Internet as the best source for comparing prices. Hispanic consumers also are younger, as well as heavier users of Internet features such as music downloading and instant messaging. 56 percent of Hispanics online are between the ages of 18 to 34 vs. 34 percent for the general online population. The survey found they use the Internet far more frequently than the general online population to listen to music (55% vs. 41%), download music files (37% vs. 25%), and for instant messaging (59% vs. 48%). The survey also indicates that 47 percent of online Hispanics have children under the age of 18 at home vs. 37 percent for the general online population and that they are far more upbeat about the ability of the Internet to improve the lives of their children.
The past decade has witnessed an explosion in Artificial Intelligence (AI) use cases. From facial recognition software to virtual assistants, AI is rapidly reshaping our digital world. However, most of this AI processing power has resided in the public cloud, requiring a broadband internet connection and raising concerns about personal data privacy. This deployment model is about to evolve. The future of AI is the ability to function directly on our devices, according to the latest worldwide market study by ABI Research. On-Device AI Market Development The research predicts a significant growth in AI chipset shipments, reaching over 1.3 billion units by 2030. This surge signifies a critical shift towards on-device AI, empowering smartphones, PCs, tablets, and other gadgets with the ability to process AI tasks locally. This transition is driven by two key factors. Firstly, smartphone and PC vendors are prioritizing the development of chipsets specifically designed for on-device AI, par