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Events on March, 2017

“Deep Learning in Siri” by Dr. Alex Acero, Apple

Date: March 23rd, 2017

IEEE Santa Clara Valley Circuits and Systems Society proudly co-sponsors the upcoming seminar of the Signal Processing chapter on Thursday, March 23, 2017 by Dr. Alex Acero, Apple with the title:

“Deep Learning in Siri”


AMD Commons Auditorium, 991 Stewart Dr., Sunnyvale, CA (map or Google Maps)


Need visitor registration to enter this facility. Please register here.



6:30pm: Check-in/Networking

7:00pm: Announcements

7:05pm: Presentation

8:15pm: Adjourn



FREE for IEEE members

$5 for Others


Siri, Apple’s personal assistant, first shipped in 2011 as part of iOS and brought conversational agents into the mainstream. Users can access Siri from their iPhone, iPad, Apple Watch, AppleTV and Carplay in 21 languages. Deep learning has revolutionized the field of machine learning, making a big impact in both core algorithms and application areas like speech recognition, critical for Siri. Mixture Density Networks, a particular type of deep learning, now power Apple’s TTS engine, making Siri’s voices more natural, smoother, and allowing Siri’s personality to shine through. Accented speech, always a challenge for speech recognition systems, can be addressed by training deep neural networks and convolutional neural networks with various sources of data properly weighted in order to achieve a robust acoustic model.



Alex Acero leads the speech team in Siri, Apple’s personal assistant for iPhone, iPad, Apple Watch, Apple TV, and Carplay. Before joining Apple in 2013, he spent twenty years with Microsoft Research, managing teams in Speech, Natural Language Processing, Information Retrieval, Multimedia, Communication and Computer Vision. His team at Microsoft Research built Bing Translator, and contributed to Xbox Kinect. From 1991-1993 he managed the speech team for Spain’s Telefonica. He has been granted 154 US patents.

Dr. Acero is IEEE Fellow and ISCA Fellow. He received the 2012 IEEE Signal Processing Society Best Paper Award for the paper “Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition” for pioneering the use of deep learning in large vocabulary speech recognition. Alex is co-author of the textbook “Spoken Language Processing” and over 250 technical papers, with an h-index of 61 according to Google Scholar. Dr. Acero is Affiliate Faculty at the University of Washington. Alex received an engineering degree from the Polytechnic University of Madrid, a Masters from Rice University, and a PhD from Carnegie Mellon.

Dr. Acero is a member of IEEE Board of Directors. He has served in many roles within the IEEE Signal Processing Society, including President, Director Industrial Relations, Vice President Technical Directions, Member-at-Large of the Board of Governors, Chair of the Speech Technical Committee, Associate Editor for IEEE Transactions Speech and Audio Processing and IEEE Signal Processing Letters, member of the Editorial Board of IEEE Signal Processing Magazine and IEEE Journal on Selected Topics in Signal Processing, Publications Chair for ICASSP98.

Registration link for this event is

“Silicon is the New Steel: Building the Internet of Everything — The World’s First Terascale Network” by SSCS Distinguished Lecturer, Tom Lee, from Stanford University.

Date: March 16th, 2017

IEEE SCV CAS proudly co-sponsors an IEEE SCV SSC distinguished lecturer seminar on Thursday March 16, 2017 by Prof. Tom Lee, Stanford University with the title:

“Silicon is the New Steel: Building the Internet of Everything — The World’s First Terascale Network” 

Date: March 16, 2017 (Thursday)
, Networking and refreshments
6:30-8:00pm, Technical Talk

Where: Texas Instruments Auditorium (Building E Visitor Center), 2900 Semiconductor Dr, Santa Clara, CA 95051, Directions.


Steel transformed civilization in the 20th century, shifting from high-tech material to commodity in the process. Silicon is undergoing an analogous transition, as the action shifts from circuits to systems. This talk will argue that multiple convergent trends are pushing us toward the terascale age, presenting us with both historic opportunities and historic challenges. The latter extend from DC to the millimeter wave, and from design tools to the economics of test. Securing a network possessing an “attack surface” of unprecedented magnitude, as well as supplying power to a trillion devices, remain challenges as well. Solving these problems will complete the transition of silicon from mere ubiquity to invisibility (the true mark of success).


Thomas Lee received his degrees from MIT where his 1989 thesis described the world’s first CMOS radio. He has been at Stanford University since 1994, having previously worked at Analog Devices, Rambus and other companies. He’s helped design PLLs for several microprocessors (notably AMD’s K6-K7-K8 and DEC’s StrongARM), and has founded or cofounded several companies, including the first 3D memory company, Matrix Semiconductor (acquired by Sandisk), and IoE companies ZeroG Wireless (acquired by Microchip) and Ayla Networks. He is an IEEE and Packard Foundation Fellow, has won “Best Paper” awards at CICC and ISSCC, was awarded the 2011 Ho-Am Prize in Engineering, as well as an honorary doctorate from the University of Waterloo. He is a past Director of DARPA’s Microsystems Technology Office, holds 70 patents, and owns about 200 oscilloscopes, thousands of vacuum tubes, and kilograms of obsolete semiconductors. No one, including himself, quite knows why.

Registration Link:

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