Squeezing down the computing requirements of deep neural networks

Wednesday, July 24, 2019, 6:00 PM – 8:00 PM PDT  

The event is FREE. Food & drinks will be provided.

This event is organized by:

 Co-sponsors:

Speaker:  Forrest Iandola, CEO and co-Founder of DeepScale

Location: 673 South Milpitas Blvd. Milpitas, CA 95035, USA  View Map 

(Register here)

PROGRAM:

  • 6:00 – 6:30 PM Networking & Refreshments
  •  6:30 – 7:30 PM Talk
  • 7:30 – 8:00 PM Q&A/Adjourn

Abstract: Deep Neural Networks (DNNs) have enabled breakthrough levels of accuracy on a variety of tasks in vision, audio, and text. However, DNNs can be quite computationally-intensive, and highly-accurate DNNs often require a full-sized GPU server for real-time inference. To squeeze DNNs into smaller computing footprints, there are a number of techniques, including better DNN design, DNN quantization, better implementations of DNNs, and better utilization of specialized computing hardware. This talk touches on all these techniques, with particular focus on better DNN design for computer vision. Recently, Neural Architecture Search (NAS) technologies have begun to make significant progress in automating the process of designing “squeezed” DNNs, and we cover some of the latest work on NAS in this talk.

Bio: Forrest Iandola  

Forrest Iandola completed a PhD in Electrical Engineering and Computer Science at UC Berkeley, where his research focused on improving the efficiency of deep neural networks (DNNs). His best-known published research ranges from scaling DNN training to hundreds of GPUs (FireCaffe), to squeezing DNNs onto small edge-devices (SqueezeNet and SqueezeDet). His advances in scalable training and efficient inference of DNNs led to the founding of DeepScale, where he has been CEO since 2015. DeepScale builds energy-efficient vision and perception systems for automated vehicles.

Open to all to attend

(Online registration is needed. If you did not register, seating is not guaranteed.)

Eventbrite - enabling-digital-transformation-at-the-edge

 

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[ValleyML.ai, IEEE SCV-CIS and CS] AI, ML and Storage

[ValleyML.ai, IEEE SCV-CIS and CS] AI, ML and Storage

Hosted as a free event/open session for public as part of Flash Memory Summit on Wednesday, August 7th, 7pm to 9 pm

Organized by:

Sponsored by:

IEEE CS SCV is sponsoring this event as a relevant event for our members.

Register for a free exhibit pass at https://www.flashmemorysummit.com/

Free exhibit pass provides the access to exhibits, key notes and open
sessions.

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[ValleyML.ai] State of AI and ML-Summer 2019

[ValleyML.ai] State of AI and ML-Summer 2019

August 16, 9:00 AM – August 17, 6:00 PM PDT, @ Z-Park Silicon Valley, 4500 Great America Pkwy, Santa Clara, CA 95054, USA.

IEEE CS SCV is listing this event here as a relevant event for our members.

Join this 2-day event as part of series of regularly planned events to learn about the state-of-the-art advances in artificial intelligence (AI) and machine learning (ML) technology. Get IEEE PDH Certificate from IEEE Continuing Education.

Go to ValleyML.ai and hit register to go to Eventbrite page and use discount code VALLEYML_CS25 to get 25% off.

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Emergence of RISC-V computer architecture- embedded apps & ML acceleration

Emergence of RISC-V computer architecture- embedded apps & ML acceleration

 August 21 @ 7:00 pm9:00 pm, @ PayPal Town Hall, 2161 North First St. San Jose, CA 95131 View Map

 IEEE CS SCV is sponsoring this event as a relevant event for our members.

 Organized by:

Sponsored by:

§  IEEE Computer Society (CS) of Silicon Valley

 (Register here)

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[ValleyML.ai] Machine Learning and Deep Learning Boot Camp

[ValleyML.ai] Machine Learning and Deep Learning Boot Camp
August 29th through October 17th, 2019, ValleyML.ai; Machine Learning and Deep Learning Boot Camp, @Z-Park, 4500 Great America Pkwy, Santa Clara

 IEEE CS SCV is listing this event here as a relevant event for our members.

This Boot Camp is available to register as a complete course of 8 workshops and also as a custom package of individual workshops. Attend this boot camp to build a solid foundation of Machine Learning/ Deep Learning principles and apply the techniques to real-world problems. Entire Program schedulealong with instructor bios can be downloaded here as a PDF:
https://drive.google.com/file/d/1xjiqpf_w0sgHsoU-0NeTHMxCG02DlF-m/view?usp=sharing
Attendees can get IEEE PDH Certificate from IEEE Continuing Education. 

Please register at http://mldlbootcamp.eventbrite.com/?discount=VALLEYML_CS40 for Early bird discount of 40%! Early bird tickets till July 12th.
The above link has an embedded discount code VALLEYML_CS40 to get 40% discount. Early bird tickets (40% discount) last till July 12th.

Regular registration [ https://mldlbootcamp.eventbrite.com?discount=VALLEYML_CS25  ] (25% discount code VALLEYML_CS25) period is from July 13th to August 22nd.
Late registration [ https://mldlbootcamp.eventbrite.com/?aff=cs ] (no discount) starts from August 23rd.
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