Skip to main content

Linux Phone Standards Forum

A new Linux Phone Standards Forum (LiPS) has been founded to promote mass market adoption of Linux telephony terminals through standardization, interoperability testing and market education. The founding members include Cellon, France Telecom, FTM Labs, Huawei, Jaluna, Mizi, Open Plug and PalmSource.

LiPS will support device manufacturers and operators in bringing to market Linux-based devices at lower cost (due to lower deployment costs through standardization), while facilitating the programming and development process for software and silicon vendors.

The Forum said plans to work with other organizations such as the OMTP and OMA to identify requirements of distinct device categories including smartphones, feature phones, fixed-line, or converged devices. For each of these categories, or profiles, LiPS will define standard API�s that support relevant applications and services as well as a certification process for technology providers.

In keeping with the open source philosophy, LiPS will cooperate with other dedicated Linux groups that address aspects of Linux telephony outside the scope of the Forum�s work. Through collaboration and sharing of resources and ideas with these additional industry bodies, LiPS will ensure convergence of standards, meaning earlier availability of findings and more interoperability within the Linux community.

Popular posts from this blog

Frontier AI Peaked. Here's What Comes Next

The prevailing narrative around artificial intelligence (AI) has been one of relentless scale. Bigger models, bigger clusters, bigger budgets. The assumption, largely unchallenged until recently, was that raw parameter count translated directly into competitive advantage. New research from Omdia suggests it's time to retire that assumption. According to the latest market study by Omdia, parameter growth in frontier AI models has slowed to around 5 percent annually since 2021, a stark contrast to the more than hundredfold expansion seen between 2019 and 2021. Enterprise AI Market Development For executives who have been making infrastructure and investment decisions based on the assumption that AI would keep demanding ever-larger, ever-more-expensive hardware, this finding deserves serious attention. The race to the top of the model size leaderboard has, at least for now, plateaued. Crucially, Omdia's analysts are not reading this as an AI winter. Alexander Harrowell, senior pri...
Read more