Changing the way the world compute. General Vision Inc. (rev 2016)

Transcription

1 1 Changing the way the world compute

2 2 About General Vision Inventor/ Licensor NeuroMem CogniSight: NeuroMem applied to Image IntelliGlass: CogniSight into Glass Owner/Manufacturer NeuroMem IP CM1K chip (1st generation in 2008) NM500 WSP (2 nd generation in 2017) Hardware/Software development SOC, MCM, Modules, boards Knowledge Builder Apps and SDKs

3 3 Licenses Credentials

4 4 QuarkSE, 1 st SOC from a licensee (2015) - Intel s flagship product at CES 2015 and Features 128 NeuroMem neurons - Promoted for IOT application with emphasis on Sports and Fashion - Packaged as Curie module Evaluated on Arduino/Genuino 101

5 5 1 st NeuroMem license on FPGA for face recognition (2012) RCE-NN based face recognition Advanced Numerical Analytical Laboratory Real-time high performance hardware for face recognition. Read more

6 6 NM500, 2 nd ASIC from Licensee (2016) 576 neurons die Ready for integration in multiple packages Promoted by nepes with Arduino boards and training

7 7 Applications Credentials

8 8 Our 1 st adopter: Fish Inspection in 2003 Customer Challenge Equip filleting lines with automated fish sorting system to replace human operators, reduce cost and increase space available for the storage The autonomous inspection must sort the fishes based on multiple criteria and be easily adaptive to the type of expedition, seasons and locations Solution developed ZICAM camera (and later Matrox Iris) capable of recognizing ill-defined objects such as fishes which can have numerous variations in shapes and textures. Trained on the boat by the fishermen Benefits One camera replaces 2 crew members Works faster than human operator Operate 24/7. >90% accuracy Helped save $6M/year on a fleet with 6 lines

9 9 Proof of Concept for Otis Elevator in 2001 Customer Challenge Control the opening and closing of elevator doors with a vision-based sensor placed on the top of the car, expanding inspection coverage to a 2D plane for better safety The camera must be easy to train at installation and perform accurate obstacle detection regardless of the outdoor lighting, carpeting and other settings at the different floors Solution developed ZICAM camera trained in the field to recognize a clear doorway. The door stops closing if the camera detects the least anomaly (person, luggage, pets, piece of a leash, etc). Benefits Trained by the installer at installation by showing examples of a clear doorway at each floor. Improved safety by scanning a 2D plane and detecting small obstacles running across the entry way High adaptivity using contextual information Cons Otis claimed that the cost of the camera was too high in 2001, but nevertheless Otis applied a limited patent in 2002 as inventor (

10 10 2 nd industrial system: Glass Defect Detection in 2005 The challenge Reliable inspection system detecting defects on patterned glass sheet Must be able to inspect a variety of patterned glass Must be easy to setup and maintain by in-house personnel The solution 36 CogniSight Sensors mounted on a rail above the glass float All sensors are pre-loaded with the same knowledge (approx neurons per type of glass) and run-time engine They inspect in parallel a portion of the glass width and are pinged to report if an anomaly is found Benefits Continuous monitoring at 20 inspections per second Total weight=4kg, total power consumption= 40 watts Cost < 50K$, 10 times cheaper than existing systems (ISRA vision and co)

11 11 Non vision-based Proof Of Concept: Text Analytics (2012) The challenge Sentiment analysis of massive payloads of short texts such as posts on facebook. Twitter, blogs, CRM applications and more is in high demand for responsive and adaptive marketing. The desired throughputs require very expensive hardware and a solution based on the NeuroMem chip should considerably lower the cost of the hardware and power consumption. The solution Stack of NeuroStack boards interfaced to a host via USB2. The cognitive memories are loaded with expressions describing one or more sentiments (tested with 16,000 expressions describing 20 different sentiments) The host continuously broadcasts posts to the NeuroStack which returns their scores per sentiment Benefits >5000 transactions/sec for less than <20 watts Scalable by stacking more NeuroStack boards Four boards replace 36 blade servers and consume 1000 x less

12 12 Secure Communication X2V at AFRL / Northrop Grumman (2013) 1 st assembly of 102,400 neurons 25 boards w/ 4 chips per board 409,600 operations per clock 10 MHz ~4 Tera Ops/sec 25 Watts Uplink packet authentication to military UAV. Read More.

13 13 NeuroMem on crio board Cogito Instruments (2016) NeuroMem on a National Instruments certified platform Access to the LabVIEW eco-system Industry / factory 4.0 Test and measurement

14 Other Background 14 Info

15 15 Hardware eco-system Cognitive Sensing Modules and cameras Arduino Shields Configurable for image, audio and other signal analytics Cognitive Computing Pattern recognition accelerator Reconfigurable Stackable

16 16 Software eco-system Users Programmers Teachers Custom Image recognition Applications (mainframe, PC and embedded) CogniSight API And IP cores NeuroMem API and IP cores Image Knowledge Builder Custom pattern recognition Applications (mainframe, PC and embedded) Driver per platform NeuroMem Knowledge Builder

17 17 Neuromorphic ICs Timeline NeuroMem : parallel, trainable, scalable, low-power ZISC36 IBM 36 neurons 1μm techno ZISC78 IBM 78 neurons 250 nm techno CM1K General Vision 1024 neurons 130 nm techno NM500 General Vision 576 neurons 110 nm techno NI1000 (Ϯ) Intel OV810 Omnivision TrueNorth IBM Zeroth QualComm Eyeriss MIT Curie/ QuarkSE Intel 128 neurons 28 nm techno Others: spiked, cross-bar, off-line training

18 GV Product line history 18 IBM stops the manufacturing of the ZISC chip GV designs the CM1K Q4, Sep, 2007 Apr, 2008 Nov, 2011 ZiCAM w/ ZISc neurons Matrox Iris w/ software neurons MTVS w/ 15 neurons on FPGA CM_IR prototyping board CM1K ASIC 1024 neurons V1KU camera board w/ CM1K NeuroStack Stackable w/ 4 CM1K May 2016 Feb 2015 CurieNeurons library for Arduino/Genuino 101 BrainCard shield w/ CM1K