Amazon Developing AI Chip To Improve Alexa's Response Speed

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Amazon Developing AI Chip To Improve Alexa's Response Speed

The Echo and Cloud Cam now need plug-in power sources to function. But Amazon's smart home device business isn't slowing down-last year, the company released a slew of in addition to the Cloud Cam and smart lock needed for Amazon Key.

Earlier in 2017, Amazon Echo customers in the United States found their devices had embarked on unauthorised shopping sprees after tuning into TV ads, and in March, audio files recorded by an Echo device were submitted as evidence in an Arkansas murder trial.

The next generation of Echo smart speakers could be about to get much smarter, as Amazon is reportedly developing its own chip to power Alexa. Are on-device AI chips going to become common in upcoming years? Additionally, located inside its mobile A11 processor is what Apple calls the Neural Engine, a feature that accelerates AI processes on new Apple smartphones. It acquired chip designer Annapurna Labs in 2015 whose ARM-based Alpine chips are designed for routers and connected home products.

Google has also started pushing its Tensor Processing Units (TPUs) - AI accelerating circuits - on its cloud platform to enable engineers to run machine learning models faster. While one should take these speculations with a grain of salt, they could spark some worry among executives of chip companies like Nvidia and Intel. Amazon.com Inc paid about US$90 million to acquire the maker of Blink home security cameras late previous year, in a secret bet on the startup's energy-efficient chips, people familiar with the matter told Reuters.

This item is also eligible for Amazon Prime's free shipping. The company is now producing A.I. chips that specifically suit Amazon's own hardware needs. Now, one in every six Americans owns a voice-activated speaker, according to research from NPR and Edison Research.

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