Caution! The site can't guarantee, that text has age permission. The site is not recommended, if you are less than 18 years old.
The site shows example sentences for English words. How the word or phrase could be used in a sentence?
" ... Before neural networks can run efficiently on phones, Imagination and its competitors need to work on a number of issues. There’s more than the obvious need for lower power. Inference engines on phones need to compete with the cloud, where there’s higher latency through wireless but more compute power. Chris Longstaff, Senior Director of Product & Technology Marketing, was the presenter and clearly pointed out a number of the performance challenges. Two that interested me were the firm’s focus on highest inference per mm2 (square millimeter) and highest inference per mW (milliwatt). ... "
" ... Finally, is the world of security cameras, which had been mentioned earlier. Security cameras, both consumer and commercial are starting to gain intelligent functionalities enabled by machine learning and AI that allow for them to better recognize what they are looking at. By doing so, cameras today will be able to tell you who is at your door and who is inside your house. With precision optics, these cameras will be able to better and more quickly identify faces and at the same time capture better quality video of visitors or intruders. These cameras can also save power and storage space by not always recording and choosing to record depending on what the camera recognizes the object as. This can be especially valuable for cameras that are battery operated and stream wirelessly to the internet, every milliwatt counts and having quicker and better object recognition is extremely valuable in the long term. ... "
" ... For instance, don’t assume that a certificate approving a 10 milliwatt device will be relevant for a 1,000 milliwatt device, even if both use the same Wi-Fi frequency. Microwave ovens and Wi-Fi routers use approximately the same 2.4 GHz frequency, yet one needs to be in a closed metal box while the other is safe to put anywhere in our homes. ... "
" ... Millions of smart surveillance cameras and other edge devices collect massive amounts of data. After performing some local processing, such as compression, the data is streamed to data centers for tasks such as object detection and facial recognition. While this approach typically consumes a ton of bandwidth, adds latency and risks security, it was historically necessitated by the massive amount of computation required for AI. Now, startup Perceive Corporation, a spinout from audio and image chip company Xperi, claims to have put data center class processing into a low cost, 20 milliwatt 7x7 mm chip, delivering 55 TOPS/Watt for edge device AI. Since 2-5 TOPS/Watt is now considered world-class for edge devices, I was initially skeptical. Upon further examination though, it looks like these guys may be on to something interesting here. ... "
" ... So that’s a lot of extra components in a device. And space is hugely precocious in a mobile phone. This is where MEMS comes in. The typical MEMS application in a phone is the sensor which can tell which way up a phone is. A set of balanced levers taken down to microscopic size measure how the phone is tilted. But MEMS can be used like a tiny tuning fork to create oscillations and so have the potential replace crystals. What more exciting is that MEMS are made out of silicon so in theory the oscillator could be built into the processor chip, something that would be impossible with quartz. Not only would this help reduce the component count and size of the phone internals, MEMS are lower power than quartz which matters at the milliwatt level they are used for. ... "