Brain Inspired Computing Congress Features BrainChip Founder and CTO Peter van der Made
November 16 2020 - 6:34PM
Business Wire
BrainChip Holdings Ltd (ASX: BRN), a leading provider of
ultra-low power high performance artificial intelligence
technology, today announced that the Company’s founder and Chief
Technology Officer Peter van der Made will present at the Brain
Inspired Computing Congress. The Computing Congress is a virtual
event on November 18-19 2020 focusing on prime uses for brain
inspired technologies including autonomous vehicles, robotic arm
control, and dynamic vision sensing.
Mr. van der Made will address ‘brain inspired’ applications such
as cybersecurity, medical and disease diagnostics, odor and taste
classification, gesture and facial recognition, and industrial IoT
that BrainChip has developed using event-based neural networks
trained with spike-timing-dependent plasticity (STDP) – a function
of the biological brain.
“Unlike conventional artificial intelligence networks,
event-based processing is capable of continuous incremental
learning and can adapt to new information. This capability can
result in a superior standard of ‘intelligence’ and more closely
resembles the human brain,” said Mr. van der Made. “BrainChip’s
work in event-based neural processing is paving the way for these
brain inspired applications in commercial and beneficial AI.”
The Brain Inspired Computing Congress brings together the
leading start-ups, researchers, and multinational companies
exploring technologies spanning neuromorphic engineering,
event-based sensors, brain-inspired algorithms and biologically
plausible neural networks. The event provides an overview and
deep-dive sessions on new architectures for neuromorphic chips,
event-based sensors, and efforts to create biologically plausible
algorithms and explores overlap and differentiation between
applications for conventional deep learning and brain-inspired
computing.
Mr. van der Made has been at the forefront of computer
innovation and invention for 45 years. He designed the first
generations of digital neuromorphic devices on which BrainChip’s
Akida™ neuromorphic processor is based, and holds its patent. His
book Higher Intelligence: How to Create a Functional Artificial
Brain, published in 2013, described the architecture of the brain
from a computer science perspective. He remains actively involved
in the design of the next generation of Akida chips, and in
research on advanced neuromorphic architectures. He is also writing
a follow-up book on neuromorphic architecture and the algorithms
performed in the neocortex.
The Akida Neuromorphic System-on-Chip (NSoC) brings artificial
intelligence to the edge in a way that existing technologies are
not capable. The solution is high-performance, small, ultra-low
power and enables a wide array of AI edge capabilities. The Akida,
intellectual property or device can be used in applications
including but not limited to smart home, industrial IoT sensors,
unmanned aircraft, autonomous vehicles, medical instruments, audio
detection, odor and taste detection, tracking, object detection,
gesture recognition, keyword spotting, and cybersecurity.
About BrainChip Holdings Ltd (ASX: BRN)
BrainChip is a global technology company that is producing a
groundbreaking neuromorphic processor that brings artificial
intelligence to the edge in a way that is beyond the capabilities
of other products. The chip is high performance, small, ultra-low
power and enables a wide array of edge capabilities that include
on-chip training, learning and inference. The event-based neural
network processor is inspired by the spiking nature of the human
brain and is implemented in an industry standard digital process.
By mimicking brain processing BrainChip has pioneered a processing
architecture, called Akida™, which is both scalable and flexible to
address the requirements in edge devices. At the edge, sensor
inputs are analyzed at the point of acquisition rather than through
transmission via the cloud to a data center. Akida is designed to
provide a complete ultra-low power and fast AI Edge Network for
vision, audio, olfactory and smart transducer applications. The
reduction in system latency provides faster response and a more
power efficient system that can reduce the large carbon footprint
of data centers.
Additional information is available at
https://www.brainchipinc.com
Follow BrainChip on Twitter:
https://www.twitter.com/BrainChip_inc Follow BrainChip on LinkedIn:
https://www.linkedin.com/company/7792006
View source
version on businesswire.com: https://www.businesswire.com/news/home/20201116006075/en/
JPR Communications Mark Smith, marks@jprcom.com
Brainchip (ASX:BRN)
Historical Stock Chart
From Mar 2024 to Apr 2024
Brainchip (ASX:BRN)
Historical Stock Chart
From Apr 2023 to Apr 2024