NEWS ANALYSIS
Xnor.ai estimates that Edge AI runs 10 times as fast
with 15x memory than cloud-based systems, and a
responsive assistant dedicated to each specific phone
could finally let Apple build a voice recognition system
with near-perfect accuracy. We’ve been waiting years
for Siri to be able to basic things such as distinguishing
between different users’ voices, and Edge AI could
bring a great understanding of each user’s particular
cadence. After all, we already know that Xnor.ai’s Wyze
AI was able to distinguish people from pets, so using
to differentiate voices shouldn’t be all that difficult.
That alone would go along way towards closing the gap
between Siri and Google Assistant and Amazon Alexa.
By building a powerful AI engine directly on our phones,
Apple could do the kinds of things with Siri we want it
to do without compromising our privacy.
That same engine could be applied to speech
patterns. Siri dictation isn’t bad at all, but saying
If Xnor.ai could transform a
tiny $20 camera with Edge
AI, imagine what it could
do for Siri and the iPhone
NEWS ANALYSIS
Xnor.aiestimatesthatEdgeAIruns 10 timesasfast
with15xmemorythancloud-basedsystems,anda
responsiveassistantdedicatedtoeachspecificphone
couldfinallyletApplebuildavoicerecognitionsystem
withnear-perfectaccuracy.We’vebeenwaitingyears
forSiritobeabletobasicthingssuchasdistinguishing
betweendifferentusers’voices,andEdgeAIcould
bring agreatunderstandingofeachuser’sparticular
cadence.Afterall,wealreadyknowthatXnor.ai’sWyze
AIwasabletodistinguishpeoplefrompets,sousing
todifferentiatevoicesshouldn’tbeallthatdifficult.
Thatalonewouldgoalongwaytowardsclosingthegap
betweenSiriandGoogleAssistantandAmazonAlexa.
BybuildingapowerfulAIenginedirectlyonourphones,
ApplecoulddothekindsofthingswithSiriwewantit
todowithoutcompromisingourprivacy.
Thatsameenginecouldbeappliedtospeech
patterns.Siridictationisn’tbadatall,butsaying
If Xnor.ai could transform a
tiny $20 camera with Edge
AI, imagine what it could
do for Siri and the iPhone
