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Draft:BrainChip

From EverybodyWiki Bios & Wiki








BrainChip Holdings Inc.
Traded asASX: BRN OTCQX: BRCHF
ISIN🆔
IndustryArtificial Intelligence hardware and software provider
Founded 📆2004
Founder 👔
Area served 🗺️
Worldwide
Key people
Peter van der Made (Founder and CTO, Executive Director, Interim CEO)

Anil Mankar (Co-founder, Chief Development Officer)

Ken Scarince (Chief Financial Officer)

Rob Telson (Vice President of World Wide Sales)

Emmanuel T. Hernandez (Non-Executive Director)

Steve Liebeskind (Non-Executive Director)

Christa Steele (Non-Executive Director)
Members
Number of employees
🌐 Websitehttps://brainchipinc.com/
📇 Address
📞 telephone

BrainChip Holdings is an AI hardware and software provider headquartered in Perth, Western Australia, with research, design and engineering centres in Aliso Viejo, California, Toulouse France and Hyderabad India..[1].

The company specialises in neuromorphic computing for the edge AI market, with its flagship Akida NSoC and the Akida Intellectual Property. Akida employs spiking neural network technology to rapidly classify features extracted from data streams (e.g., video, LIDAR, audio, olfactory, hand gestures, TCP/IP traffic) using low power, and is capable of dynamic on-chip learning[2].

The company currently trades as ASX:BRN[3] and OTCQX:BRCHF[4].

Technology

Akida NSoC

The Akida NSoC is a neuromorphic, spiking neural network (SNN) processor that uses temporally sparse activations to enable event-driven computation, and is optimized for low-power edge AI[5]. By taking advantage of the inherent sparsity of events, a reduced number of operations is required. Memory requirements have been reduced by quantizing Akida's weights and activations to 1, 2 or 4 bits[6]. Intermediate results are stored in on-chip memory, eliminating the need for off-chip memory access. The processor contains 80 neural processor units (NPUs) which communicate over a mesh network, so there is no need for an external host CPU[7]. Akida runs the entire neural network with all layers being executed in parallel[6]. These and other features allow inference and incremental learning on edge devices within a power, size and computation budget[6].

Akida IP

Akida Development Environment

A machine learning development environment for the creation of neural networks. In September 2020, the company announced the ADE no longer required pre-approval, allowing system designers to freely develop Akida-integrated solutions for edge and enterprise products[8].

Partnerships and Trials

Vorago

In September 2020 the company that Vorago Technologies, a privately held technology company based in Austin, Texas, specialising in radiation-hardened and extreme-temperature solutions for the high-reliability marketplace, had signed up for the Akida Early Access Program[9][10][11].

Magik Eye Inc

On 17th August 2020 the company announced it had partnered with Magik Eye Inc., a Tokyo-based developer of 3D sensors for robots and machines, to market a solution for object detection, object classification and gesture recognition based on MagikEye's Invertible Light™ 3D depth sensing technology and the Akida neuromorphic processor[12][13][14].

Valeo

In June 2020 the company announced Valeo, a European Tier-1 automotive supplier of sensors and systems for Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AV) had signed a joint-development agreement utilising the Akida NSoC[15][16].

Ford Motor Company

In May 2020 the company announced a partnership with a prominent tier-one automaker to test the Akida neural network for Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicle (AV) applications[16][17]. In a subsequent announcement, this company was revealed to be Ford Motor Company[18].

Socionext and TSMC

In March 2020, the company added that Socionext would be offering customers an Artificial Intelligence Platform - possibly the SynQuacer SC2A11 - that includes the Akida SoC[19].

Key People

Management Team

  • Founder and CTO: Peter van der Made
  • CEO (interim): Peter van der Made
  • Co-founder and CDO: Anil Mankar
  • CFO: Ken Scarince
  • VP of Worldwide Sales: Rob Telson

Scientific Advisory Board

Professor Barry Marshall, a Nobel Prize laureate in Physiology and Medicine, joined BrainChip's Scientific Advisory Board in July 2020 to help the company focus on smart health applications - namely, on use-cases involving the rapid interpretation of clinical tests[20]. Dr Simon Thorpe was re-appointed to the Scientific Advisory Board in May 2020, to provide insight in the area of event-based processing and hardware implementation[21].

Board of Directors

  • Peter van der Made: Executive Director
  • Emmanual Hernandez: Non-executive director, Interim chairman
  • Steve Liebeskind: Non-executive director
  • Christa Steele: Non-executive director

Patents

  • Autonomous learning dynamic artificial neural computing device and brain inspired system (US8250011B2)[22]. This patent has been cited by IBM[23][24][25] and Qualcomm[26][27][28].
  • Method and A System for Creating Dynamic Neural Function Libraries (US20190012597A1)[29]
  • Spiking neural network (US20200143229A1)[30]
  • Low power neuromorphic voice activation system and method (US10157629B2)[31]
  • Neural processor based accelerator system and method (US20170024644A1)[32]
  • Intelligent biomorphic system for pattern recognition with autonomous visual feature extraction (US20170236027A1)[33]
  • Secure Voice Communications System (US20190188600A1)[34]
  • Intelligent Autonomous Feature Extraction System Using Two Hardware Spiking Neutral Networks with Spike Timing Dependent Plasticity (US20170236051A1)[35]
  • System and Method for Spontaneous Machine Learning and Feature Extraction (US20180225562A1)[36]
  • Method, digital electronic circuit and system for unsupervised detection of repeating patterns in a series of events (US20190286944A1)[37]

Published Research

  • Unsupervised learning of repeating patterns using a novel STDP based algorithm[38]
  • Unsupervised Feature Learning With Winner-Takes-All Based STDP[39]
  • A Hardware-Deployable Neuromorphic Solution for Encoding and Classification of Electronic Nose Data[40]
  • Real-Time Classification of Multivariate Olfaction Data Using Spiking Neural Networks[41]
  • A Review of Current Neuromorphic Approaches for Vision, Auditory, and Olfactory Sensors[42]
  • Application of a Brain-Inspired Spiking Neural Network Architecture to Odor Data Classification[43]
  • Neuromorphic engineering — A paradigm shift for future IM technologies[44]

Competition

References

  1. ↑ admin. "About". BrainChip. Retrieved 2020-10-18.
  2. ↑ admin. "Akida Neural Processor IP". BrainChip. Retrieved 2020-10-18.
  3. ↑ "BRN share price and company information for ASX:BRN". Australian Securities Exchange. Retrieved 2021-05-16.
  4. ↑ "OTC Markets | Official site of OTCQX, OTCQB and Pink Markets". www.otcmarkets.com. Retrieved 2021-05-16.
  5. ↑ "The Linley Group - BrainChip Akida Is a Fast Learner". www.linleygroup.com. Retrieved 2020-10-19.
  6. ↑ 6.0 6.1 6.2 "AI acceleration takes center stage at the 2019 Linley Fall Processor Conference". EDACafe Editorial. 2019-11-01. Retrieved 2020-10-19.
  7. ↑ "BrainChip appoints former Exar CEO to lead company". eeNews Analog. 2016-10-04. Retrieved 2020-10-19.
  8. ↑ admin (2019-06-26). "BrainChip and Socionext Sign a Definitive Agreement to Develop the Akida™ Neuromorphic System-on-Chip". BrainChip. Retrieved 2020-10-19.
  9. ↑ amywhite (2020-09-02). "BrainChip and VORAGO Technologies Agree to Collaborate through the Akida™ Early Access Program". BrainChip. Retrieved 2020-10-19.
  10. ↑ "BrainChip Holdings Announces Vorago Technologies Collaboration | Finance News Network". www.finnewsnetwork.com.au. Retrieved 2020-10-19.
  11. ↑ "BrainChip and VORAGO Technologies Agree to Collaborate through the Akida Early Access Program". www.businesswire.com. 2020-09-02. Retrieved 2020-10-19.
  12. ↑ amywhite (2020-08-18). "BrainChip Inc and Magik Eye Inc. Partner to Combine Best of AI with 3D Sensing for Total 3D Vision Solution". BrainChip. Retrieved 2020-10-19.
  13. ↑ "BrainChip and Magik Eye Collaborate on Object, Gesture Recognition". FindBiometrics. 2020-08-21. Retrieved 2020-10-19.
  14. ↑ "BrainChip and Magik Eye Collaborate on Object, Gesture Recognition". Global Information on Analytics related news, jobs and training. 2020-08-22. Retrieved 2020-10-19.
  15. ↑ "AI player BrainChip on a roll; signs two contracts within a month". kalkinemedia.com. Retrieved 2020-10-19.
  16. ↑ 16.0 16.1 "BrainChip Signs Agreement Tier-1 Automotive Manufacturer to Access The AkidaTM Neural Processor". kalkinemedia.com. Retrieved 2020-10-19.
  17. ↑ admin (2020-05-25). "BrainChip Announces Agreement With Tier-1 Automotive Manufacturer To Evaluate The AkidaTM Neural Processor". BrainChip. Retrieved 2020-10-19.
  18. ↑ "BrainChip Holdings - Clarification Announcement | Finance News Network". www.finnewsnetwork.com.au. Retrieved 2020-10-19.
  19. ↑ bhanu (2020-03-23). "BrainChip and Socionext Provide a New Low-Power Artificial Intelligence Platform for AI Edge Applications". BrainChip. Retrieved 2020-10-19.
  20. ↑ amywhite (2020-07-23). "BrainChip Announces Addition of Nobel Prize Laureate to Scientific Advisory Board (SAB)". BrainChip. Retrieved 2020-10-19.
  21. ↑ admin (2020-05-04). "BrainChip Appoints Dr Simon J. Thorpe to Scientific Advisory Board". BrainChip. Retrieved 2020-10-19.
  22. ↑ [1], "Autonomous learning dynamic artificial neural computing device and brain inspired system", issued 2008-09-21 
  23. ↑ [2], "Tagging scanned data with emotional tags, predicting emotional reactions of users to data, and updating historical user emotional reactions to data", issued 2014-05-15 
  24. ↑ [3], "Spike tagging for debugging, querying, and causal analysis", issued 2012-10-26 
  25. ↑ [4], "Lens distortion correction using a neurosynaptic circuit", issued 2017-04-24 
  26. ↑ [5], "Methods and systems for digital neural processing with discrete-level synapes and probabilistic STDP", issued 2010-07-07 
  27. ↑ [6], "Method and apparatus of robust neural temporal coding, learning and cell recruitments for memory using oscillation", issued 2011-07-21 
  28. ↑ [7], "Method and apparatus for neural temporal coding, learning and recognition", issued 2011-08-16 
  29. ↑ [8], "Method and A System for Creating Dynamic Neural Function Libraries", issued 2018-08-28 
  30. ↑ [9], "Spiking neural network", issued 2019-10-31 
  31. ↑ [10], "Low power neuromorphic voice activation system and method", issued 2017-02-06 
  32. ↑ [11], "Neural processor based accelerator system and method", issued 2016-07-24 
  33. ↑ [12], "Intelligent biomorphic system for pattern recognition with autonomous visual feature extraction", issued 2017-02-16 
  34. ↑ [13], "Secure Voice Communications System", issued 2019-02-22 
  35. ↑ [14], "Intelligent Autonomous Feature Extraction System Using Two Hardware Spiking Neutral Networks with Spike Timing Dependent Plasticity", issued 2017-02-13 
  36. ↑ [15], "System and Method for Spontaneous Machine Learning and Feature Extraction", issued 2017-02-08 
  37. ↑ [16], "Method, digital electronic circuit and system for unsupervised detection of repeating patterns in a series of events", issued 2017-11-20 
  38. ↑ Thorpe, Simon; Yousefzadeh, Amirreza; Martin, Jacob; Masquelier, Timothée (2017-09-01). "Unsupervised learning of repeating patterns using a novel STDP based algorithm". Journal of Vision. 17 (10): 1079. doi:10.1167/17.10.1079. ISSN 1534-7362.
  39. ↑ Ferré, Paul; Mamalet, Franck; Thorpe, Simon J. (2018). "Unsupervised Feature Learning With Winner-Takes-All Based STDP". Frontiers in Computational Neuroscience. 12: 24. doi:10.3389/fncom.2018.00024. ISSN 1662-5188. PMC 5895733. PMID 29674961. Unknown parameter |s2cid= ignored (help)
  40. ↑ Vanarse, Anup; Osseiran, Adam; Rassau, Alexander; van der Made, Peter (January 2019). "A Hardware-Deployable Neuromorphic Solution for Encoding and Classification of Electronic Nose Data". Sensors. 19 (22): 4831. doi:10.3390/s19224831. PMC 6891685 Check |pmc= value (help). PMID 31698785.
  41. ↑ Vanarse, Anup; Osseiran, Adam; Rassau, Alexander (January 2019). "Real-Time Classification of Multivariate Olfaction Data Using Spiking Neural Networks". Sensors. 19 (8): 1841. doi:10.3390/s19081841. PMC 6515392 Check |pmc= value (help). PMID 31003417. Unknown parameter |s2cid= ignored (help)
  42. ↑ Vanarse, Anup; Osseiran, Adam; Rassau, Alexander (2016). "A Review of Current Neuromorphic Approaches for Vision, Auditory, and Olfactory Sensors". Frontiers in Neuroscience. 10: 115. doi:10.3389/fnins.2016.00115. ISSN 1662-453X. PMC 4809886. PMID 27065784. Unknown parameter |s2cid= ignored (help)
  43. ↑ Vanarse, Anup; Espinosa-Ramos, Josafath Israel; Osseiran, Adam; Rassau, Alexander; Kasabov, Nikola (January 2020). "Application of a Brain-Inspired Spiking Neural Network Architecture to Odor Data Classification". Sensors. 20 (10): 2756. doi:10.3390/s20102756. PMC 7294411 Check |pmc= value (help). PMID 32408563 Check |pmid= value (help).
  44. ↑ Vanarse, Anup; Osseiran, Adam; Rassau, Alexander (April 2019). "Neuromorphic engineering — A paradigm shift for future IM technologies". IEEE Instrumentation Measurement Magazine. 22 (2): 4–9. doi:10.1109/MIM.2019.8674627. ISSN 1941-0123. Unknown parameter |s2cid= ignored (help)
  45. ↑ Merolla, Paul A.; Arthur, John V.; Alvarez-Icaza, Rodrigo; Cassidy, Andrew S.; Sawada, Jun; Akopyan, Filipp; Jackson, Bryan L.; Imam, Nabil; Guo, Chen; Nakamura, Yutaka; Brezzo, Bernard (2014-08-08). "Artificial brains. A million spiking-neuron integrated circuit with a scalable communication network and interface". Science. 345 (6197): 668–673. doi:10.1126/science.1254642. ISSN 1095-9203. PMID 25104385. Unknown parameter |s2cid= ignored (help)
  46. ↑ "Themes - Department of Computer Science - The University of Manchester". www.cs.manchester.ac.uk. Retrieved 2020-10-19.



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