Sentence examples for ai processing from inspiring English sources

One key aspect of Integrate.ai's platform approach means its customers aren't only being helped to extract more and better intel from their own data holdings, via processes such as structuring the data for AI processing (though Irvine says it's also doing that).

Microsoft has claimed that developers will be able to harness three times the power of a single Xbox One, thereby bringing extra oomph to physics and AI processing (although some developers wonder whether latency will ever allow such time-sensitive game elements to be offloaded in this way).

"AI processing is compute time sensitive.

"Today's AI processing is very computationally intensive," Wang told TechCrunch.

And Huawei, like Apple, has been investing a lot in on-board AI processing, which is certainly on display here.

"The 70-year old architecture of existing processors is inadequate to meet today's deep learning and AI processing needs," says Orr Danon, Hailo CEO.

We've done a lot to advance the AI requirement for processing power for sifting through massive data sets, but Uber's new team was looking at the other side of the problem; making systems smarter with limited input.

Using AI-based image processing technology, they can also crucially capture more data points than the human eye can (or easily can), because their algorithms can measure and asses finer-grained phenotypic differences than a person might pick up on or be easily able to quantify just judging by eye alone.

For privacy, communications are encrypted, AI voice processing is done locally on the device, there's an off switch that disconnects the camera and mic and it comes with a physical lens cover so you know no one's watching you.

These ideas serve to unify theoretical, computational and statistical aspects of natural languages processing in AI.

Some of the emerging lines of software will not be supported by centralized architectures at all, iEx.ec's Fedak says, such as decentralized applications (DApps), which, among others, will power fog computing, distributed AI and parallel stream processing.