The BBC is making daily programme schedule information available in TV-Anytime format as part of an experimental trial service. The data set provides details of programmes for a seven day period and is currently updated as a daily snapshot, rather than a realtime feed. The data will initially be available for three months and usage is limited to non-commercial purposes. The pilot is being provided as one of the data services on the BBC Backstage web site, which provides data, resources and support for users who wish to build prototypes and proofs of concepts using BBC material. The result of over five years of development by the TV-Anytime Forum, the TV-Anytime specifications provide standards for the rich description of radio and television programmes for use in products such as digital video recorders. The TV-Anytime specification can be downloaded from the European Telecommunications Standards Institute as TS102822. Also, after more than two years of work by the "Registration Taskforce" of the TV-Anytime Forum, the TV-Anytime CRID has become an RFC -- the Internet community's version of an International Standard -- Its number is RFC4078.
The global semiconductor industry is experiencing a historic acceleration driven by surging investment in artificial intelligence (AI) infrastructure and computing power. According to the latest IDC worldwide market study, 2025 marks a defining year in which AI's pervasive impact reconfigures industry economics and propels record growth across the compute segment of the semiconductor market. Semiconductor Market Development IDC’s latest data reveals an insightful projection: The compute segment of the semiconductor market is on track to grow 36 percent in 2025, reaching $349 billion. This segment, which encompasses logic chips powering CPUs, GPUs, and AI accelerators, will sustain a robust 12 percent compound annual growth rate (CAGR) through 2030. These numbers underscore not only current momentum but a structural shift driven by large-scale adoption of AI workloads spanning cloud, edge, and on-premises deployment models. The scale of investment is unprecedented. As organizations ...