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eSilicon Webinar Series: From Medical and Wearables to Big Data: Differentiated IP for the IoT Spectrum

ID: 1346794

Customizing Memory IP for IoT Applications; Presented in Japanese, Korean and Mandarin

(firmenpresse) - SAN JOSE, CA -- (Marketwired) -- 03/25/15 -- Creating the right chip for power-sensitive Internet of Things (IoT) applications requires the right memory IP. These webinars will provide memory IP examples and customization techniques across IoT market segments that demonstrate eSilicon''s ultra-low-power and ultra-low-voltage memory solutions.

The webinars will be presented in Japanese, Korean and Mandarin in local time zones.

Presenter: Zenda Nguyen, Program Manager, IP Business Unit, eSilicon Vietnam
Tuesday, 31 March 2015, 10:00-10:30 AM Japan Standard Time
Presented in Japanese

Presenter: Taeho Kim, Country Manager & GM, eSilicon Korea
Wednesday, 1 April 2015, 10:00-10:30 AM Korea Standard Time
Presented in Korean

Presenter: Kar Yee Tang, IP Product Marketing Manager, eSilicon Corporation
Tuesday, 7 April 2015, 10:30-11:00 AM China Standard Time
Presented in Mandarin

eSilicon, a leading independent semiconductor design and manufacturing solutions provider, delivers custom ICs and custom IP to OEMs, independent device manufacturers (IDMs), fabless semiconductor companies (FSCs) and wafer foundries through a fast, flexible, lower-risk, automated path to volume production. eSilicon serves a wide variety of markets including communications, computer, consumer, industrial products and medical.

eSilicon -- Enabling Your Silicon Success™

eSilicon is a registered trademark, and the eSilicon logo and Enabling Your Silicon Success are trademarks, of eSilicon Corporation. Other trademarks are the property of their respective owners.



Sally Slemons
eSilicon Corporation
408-635-6409


Susan Cain
Cain Communications
408-393-4794




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Bereitgestellt von Benutzer: Marketwired
Datum: 25.03.2015 - 18:00 Uhr
Sprache: Deutsch
News-ID 1346794
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SAN JOSE, CA


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Electronic Components


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"eSilicon Webinar Series: From Medical and Wearables to Big Data: Differentiated IP for the IoT Spectrum
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