Aliso Viejo, Calif. – July 28, 2021 – A growing number of connected electric vehicles, as well as the evolution of self driving and automated vehicles are putting a greater demand on processing power. New technologies are advancing rapidly with the introduction of new processing methods, according to experts at BrainChip Holdings Ltd (ASX: BRN), […]
This market research report was originally published at Semico Research’s website. It is reprinted here with the permission of Semico Research. And Where Does BrainChip Fit into the Picture? Unquestionably, the introduction of augmented Artificial Intelligence (AI) into our economy and society is going to have profound effects on how we engage with the world
What is the Real Promise of Artificial Intelligence? Read More +
This blog post was originally published at BrainChip’s website. It is reprinted here with the permission of BrainChip. In many of our presentations, podcasts, and blogs, we’ve focused the conversation around “Beneficial AI.” Here at BrainChip, we consider applications that aim to improve the human or global condition to be beneficial. This could apply to
Beneficial AI: The More Advanced, The More Beneficial Read More +
San Francisco, April 13, 2021 — BrainChip Holdings Ltd. (ASX: BRN), a leading provider of ultra-low power, high-performance AI technology, announced today that it has begun volume manufacturing of its Akida™ AKD1000 neuromorphic processor chip for edge AI devices. The engineering layout for BrainChip’s high-performance, ultra-low power chip was designed in partnership with Socionext, a
BrainChip Begins Volume Production of Akida AI Processor Read More +
This blog post was originally published at BrainChip’s website. It is reprinted here with the permission of BrainChip. Today’s neuromorphic computing architecture is capable of real-time learning and classification which is leading to a new path of Artificial Intelligence. As technology advances, new ways to support sequential memory, prediction and eventually, awareness is within our
December 09, 2020 04:50 PM Eastern Standard Time – SAN FRANCISCO,–(BUSINESS WIRE)–BrainChip Holdings Ltd. (ASX: BRN), a leading provider of ultra-low power, high-performance AI technology, announced that the company’s Chief Development Officer Anil Mankar will present about using neuromorphic processing to take AI to the Edge in a free 30-minute webinar organized by the Edge
Company Provides Shipments to Early Access Partners Aliso Viejo, California – 8 December, 2020 – BrainChip Holdings Ltd (ASX: BRN), a leading provider of ultra-low power high performance artificial intelligence technology, today provides the following update on the on the shipment of the Company’s evaluation boards for the Akida Neuromophic System-on-Chip (NSoC). The Company confirms that
BrainChip Ships Akida Evaluation Boards Read More +
Socionext to Provide Physical Design Services in Preparation for Production Mask Set and Wafer Fabrication at TSMC Aliso Viejo, California – 3 December, 2020 – BrainChip Holdings Ltd (ASX: BRN), a leading provider of ultra-low power high performance artificial intelligence technology, today provides the following update on the development of the Company’s AkidaTM Neuromorphic System-on-Chip.
BrainChip Confirms Completion of the Akida Production Design Read More +
Aliso Viejo, California – November 17, 2020 – BrainChip Holdings Ltd (ASX: BRN), a leading provider of ultra-low power high performance artificial intelligence technology, today announced that Todd Vierra has joined the company as director of technical sales. In this position, he will focus on strategic customer adoption and implementation of the Akida™ neuromorphic processor
BrainChip Appoints Todd Vierra Director of Technical Sales Read More +
On December 17, 2020 at 9 am PT (noon ET), Anil Mankar, Chief Development Officer at BrainChip, will present the free half-hour webinar “Power-efficient Edge AI Applications through Neuromorphic Processing,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: Many edge-AI processors take advantage of the spatial sparsity
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