Sentence examples for multiple platforms in from inspiring English sources

Sonic The Hedgehog for next-gen is expected to ship on multiple platforms in conjunction with the character's 15th anniversary in 2006".

The savvy and inventive are now sending entire communications, both public and private and on multiple platforms, in emoji, artfully stringing together expressive little yellow heads with pictures of dancing girls, umbrellas, snowmen, saxophones and aubergines (this probably means something like "signal failure at Thornton Heath. Don't put the moussaka on until after Emmerdale").

2. Marketers need to reach consumers on multiple platforms: In a technology-infused age, consumers are constantly shifting and "multitasking," playing a multiplicity of roles simultaneously.

To overcome this problem, this paper presents an integration of multiple platforms, in which tasks are allocated in different machines with different levels of software platform.

Dauchez has had over 15 years of experience at the head of digital entertainment companies and has launched multiple platforms in France, the US and Asia.

There's no doubt online tutoring is a very crowded space already, with multiple platforms in play — but that's a measure of how much demand (current and future) is being seen here.

For Broken Sword: The Serpent's Curse a brand new engine (VT7) was developed in order to deal with multiple platforms and, in particular screen resolution (The system is built on C++ and OpenGL, and a custom scripting language to implement the game itself).

Personally, I'm not sure if buying a single platform to enable this is what Salesforce would do, considering that today Salesforce manages across multiple platforms and in actuality Twitter is not that big in the greater scheme of things compared to Facebook and the aggregate of other platforms where "conversations" are happening.

"It's the first time customers can watch ESPN, ABC and Disney across multiple platforms both in and outside the home".

The main goal here is to make it easier to optimize models for deployments on multiple platforms — and in the AWS context, that's mostly machines that will run these models at the edge.

The present study has expanded the foundation laid in the prior studies by looking at the correlations of multiple platforms with regard in signal-to-background ratios, signal/read fidelity to sample titration, and platform performance for providing accurate fold-change estimates.