San Francisco, September 9, 2020 — BrainChip Holdings Ltd. (ASX: BRN), a leading provider of ultra-low power high performance AI technology today announced its participation at the 2020 Embedded Vision Summit Virtual Conference taking place September 15 –25, 2020 on Tuesdays and Thursdays from 9 a.m. – 2 p.m. PDT. BrainChip will exhibit Akida™, the […]
Agreement to Support Phase I of NASA Program for Radiation-Hardened Neuromorphic Processor Aliso Viejo, California – September 2, 2020 – BrainChip Holdings Ltd (ASX: BRN), a leading provider of ultra-low power high performance AI technology, today announced that VORAGO Technologies has signed the Akida Early Access Program Agreement. The collaboration is intended to support a
Companies to jointly pursue market opportunities using BrainChip AI processor and MagikEye 3D image sensor technology This Week BrainChip Holdings Ltd (ASX: BRN) announced that it has partnered with Magik Eye Inc., developers of revolutionary 3D sensors that change how machines see the world, to market a breakthrough solution for object detection, object classification and gesture
Akida™ Neuromorphic System-on-Chip (NSoC) Wafer Fabrication Completed Wafer fabrication completed on schedule BrainChip moving to assembly and test of the Akida NSoC Evaluation boards for Early Access Program are in fabrication Software tools are based on the Akida Development Environment Aliso Viejo, California – 2 July 2020 – BrainChip Holdings Ltd (ASX: BRN), a leading
BrainChip Provides Market Update Read More +
Aliso Viejo, California – April 8, 2020 – BrainChip Holdings Ltd (ASX: BRN), a leading provider of ultra-low power, high performance AI technology announced that the Company and Socionext Inc., its development, manufacturing and commercial partner, have provided its wafer fabrication partner, TSMC, with the completed Akida design files and the Multi-Project Wafer (MPW) is
BrainChip Announces Wafer Fabrication of the Akida System-on-Chip Read More +
AKD1000 is the first event-based processor for Edge AI with ultra-low power consumption and continuous learning APRIL 2, 2020–SAN FRANCISCO–(BUSINESS WIRE)– BrainChip Holdings Ltd. (ASX: BRN), a leading provider of ultra-low power, high performance edge AI technology, today announced that it will be introducing its AKD1000 to audiences at the Linley Fall Processor Virtual Conference
Business Wire – March 23, 2020 – BrainChip Holdings Ltd (ASX: BRN), a leading provider of ultra-low power high performance AI technology, today announced that Socionext Inc., a leader in advanced SoC solutions for video and imaging systems, will offer customers an Artificial Intelligence Platform that includes the Akida SoC, an ultra-low power high performance
Develop and Deploy on Akida Deeply Learned Neural Networks in a standard TensorFlow/Keras Environment February 12, 2020–SAN FRANCISCO–(BUSINESS WIRE)– BrainChip Holdings Ltd. (ASX: BRN), a leading provider of ultra-low power, high-performance edge AI technology, today announced that access to its Akida™ Development Environment (ADE) no longer requires pre-approval, now allowing designers to freely develop systems
BrainChip’s Akida Development Environment Now Freely Available for Use Read More +
This market research report was originally published at Tractica’s website. It is reprinted here with the permission of Tractica. Neuromorphic technology has been around since the 1990s in some form or the other. Early versions of neuromorphic chipsets included SpinNNaker from the University of Manchester and IBM’s TrueNorth. Both of these chipsets won several accolades
Is Neuromorphic Technology Ready to Take the Next Steps? Read More +
San Francisco – 19 December 2018: BrainChip Holdings Ltd. (“BrainChip” or the “Company”) (ASX: BRN), the leading neuromorphic computing company, today announced the BrainChip Studio 2018.3 update for its award-winning BrainChip Studio AI-powered video analysis software. The latest update boasts a powerful new mode that improves the software’s face classification accuracy by 10-30 percent. To
BrainChip Studio 2018.3 Improves Facial Classification Accuracy Read More +
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