Samsung’s Bixby performance improved with Google Cloud TPUs and SensorFlow

Samsung Bixby powered with Google Cloud

Google announced today that Samsung’s Bixby’s voice-recognition model had achieved an 18X speed boost in training by using Cloud TPUs.  

Today, Google announced that Bixby and other voice assistants use Automatic Speech Recognition (ASR) to transcribe spoken language to text. 

Samsung, a close partner of Google Cloud, used Cloud TPUs, Google Cloud’s purpose-built machine learning processors, to train their ASR models faster and ultimately improve Bixby’s accuracy. 

“At Samsung Electronics, we benefit from Google Cloud Premium Support—in local languages—and regional Technical Account Managers. Working hand in hand with both Support and the TAMs, we were able to evolve our technologies while reducing processing times to just half a day,”

Said KG Kyoung-Gu Woo, VP of AI Development Group, Mobile Communications Business, Samsung Electronics.

“We believe collaboration is the key to offering consumers new mobile experiences they will love.”

Earlier this year, Samsung had released a paper showing how it is trying to use Bixby to enrich accessibility use cases for users.

Bixby Vision is powering many research initiatives in the AI area at Samsung research today.

For Samsung Galaxy Watch 3 users, this is great news. This will mean better performance of Bixby on the watch down the line with new and improved features.

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Sudz Niel Kar
I am a technologist with years of experience with Apple and wearOS products, have a BS in Computer Science and an MBA specializing in emerging tech, and owned the popular site AppleToolBox. In my day job, I advise Fortune 500 companies with their digital transformation strategies and also consult with numerous digital health startups in an advisory capacity. I'm VERY interested in exploring the digital health and fitness-tech evolution and keeping a close eye on patents, FDA approvals, strategic partnerships, and developments happening in the wearables and digital health sector. When I'm not writing or presenting, I run with my Apple Watch Ultra or Samsung Galaxy Watch and closely monitor my HRV and other recovery metrics.


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