IEEE Consumer Electronics Society Santa Clara Valley chapter brings to you an exciting talk on Artificial intelligence applications in Consumer Electronic Devices

Topic 1: Machine Learning for Mobile Developers: Tensorflow Lite Framework by Avid Farhoodfar, PhD, is currently a Faculty in the Computer Science Department at Sofia University at Palo Alto, California.

Topic 2: Personal IoT Devices: Too much or much needed? by Zeki Gunay, founder and CEO of CRATUS Technology, a software platform company providing solutions for monitoring valuable, perishable and sensitive inventory and assets, whether portable or stationary, indoors or outdoors, in supply chain and logistics of BioPharma, F&B, aerospace, and several other markets.

Format of the meeting: Avid Farhoodfar and Zeki Gunay will each present for 30 minutes on the above mentioned topics followed by panel discussion facilitated by Dev Bhattacharya for 20 to 30 minutes

Following are the Abstract of each of the presentation and Bio of the presenters

Title of Presentation: Machine Learning for Mobile Developers: Tensorflow Lite Framework

Abstract:

As Machine learning reaches the mainstream, new tools available to developers makes it possible to implement machine-learning features—voice, face, and image recognition; personalized recommendations; and more—in a mobile context.

With many model standards, such as Caffe, Keras, Scikit-learn and more, I'd like to focus our attention to TensorFlow Lite. TensorFlow Lite is a lightweight solution for mobile and embedded devices, derived from TensorFlow. It enables on-device machine learning inference with low latency and a small binary size. TensorFlow Lite also supports hardware acceleration with the Android Neural Networks API.

TensorFlow Lite applies many techniques for achieving low latency; optimizing the kernels for mobile apps, pre-fused activations, and quantized kernels that allow smaller and faster (fixed-point math) models.

Speaker’s Bio

Avid Farhoodfar, PhD, is currently a Faculty in the Computer Science Department at Sofia University at Palo Alto, California. Formerly an Assistant chair in the Engineering Management Department, as well as Faculty in the Electrical and Computer Engineering Department at the International Technological University (ITU) in San Jose.

For her doctorate in Condensed Matter Physics and Material Sciences at Queen’s University, Dr. Farhoodfar modeled matter in quantum size, developing a modeling system using Quantum Monte Carlo approximation and Sherman Morrison optimization technique.

Title of Presentation: Personal IoT Devices: Too much or much needed?

Abstract: Consumer demand is increasing for IoT products and some are entering our lives without us noticing. Where will consumer demand saturate for data and information?

In this presentation, Zeki will be presenting four products which CRATUS has developed which touch consumers and derive similarities and contrasts on use cases, value and we will collectively try to see the future of consumer IoT.

Speaker’s Bio

Zeki is the founder and CEO of CRATUS Technology, a software platform company providing solutions for monitoring valuable, perishable and sensitive inventory and assets, whether portable or stationary, indoors or outdoors, in supply chain and logistics of BioPharma, F&B, aerospace, and several other markets. The platform combines sensor data, legacy barcodes, QR codes, NFC tags, microdisplays by mobile apps and gateways, cloud platform using edge computing and provides actionable information to ERP, supply chain or inventory management software. By using this system, companies see return in a short period by huge savings in operations.

Agenda:

6:30 pm – 7:00 pm: Registration, Food, Networking
7:00 pm – 8:00 pm: Talk
8:00 pm – 9 pm: Q&A, Panel discussion and Networking

Admission Fee:
(Please register in advance. If you cannot register in advance, you can still show up at the door, but seating is not guaranteed. Please allow extra time for NVIDIA security sign in.)
IEEE CES members – free
IEEE Student members – free
IEEE members – $4 if you prepay, $5 at door)
non-members – $9 if you prepay, $10 at door
You do not need to be an IEEE member to attend!
(If you wish to be a member of IEEE, click here)