Neuromorphic Computing Chip to Imitate Human Decision-Making in Upcoming Years
According to a report by The Insight
Partners, “Keeping the pace of development of disruptive technologies, such as
machine learning (ML) and artificial intelligence (AI), several embedded system
providers are intense to develop brain chips, where the chips will be processed
fast, and will also have responses like human brains for those systems to act
and think in a human way. Internet of Things (IoT), Data analytics, and smart
sensors are considered as major elements for the neuromorphic chip market, as these
chips are entrenched into hardware used for data mining, image recognition,
etc. Presently, neuromorphic vendors plane to design advanced system-on-chip
(SoC) that provides a boundary between algorithms and sensors, which ultimately
results in optimally converted data spikes and spiking neural networks (SNNs).
And With COVID-19 crisis that has
resulted in global lockdowns there is a huge possibility of neuromorphic chip
industry bolstering in forthcoming years. ”
The global neuromorphic chip market is
segmented on the basis of offerings, application, industry. On the basis of
offerings, the market is segmented as hardware, software. On the basis of
application, the market is segmented as image recognition, signal recognition,
data mining. On the basis of industry, the market is segmented as aerospace and
defense, it and telecom, automotive, medical, industrial, others.
Neuromorphic computing, a juggernaut of
neuroscience, microelectronics and machine learning, mimicking the human brain
in the form of an artificial neural system, has opened a myriad of
possibilities for several sectors.
But how can
a chip mimic the human brain that uses its cells neurons for communicating with
each other?
Alike human brain that uses a unique encoded
signal to communicate with each other, neuromorphic chip inspects the signals
by the means of artificial nodes. In other words, neuromorphic computing is
about an organic electrochemical transistor that engineers the output basis
alterations in the input. Moreover, Neuromorphic is all about fueling the
accurateness of decisions taken by Artificial Intelligence that bears a
resemblance to random human behavior. This will mainly be done by correcting
any bug that is likely to arise while deep learning with deep diligence.
Although
this new innovation will slowly impel all the sectors across the globe but
there are a few sectors that will soon be benefited in coming 5-7 years. Below
are the few of them:
Healthcare
Sector: With the
help of neuromorphic computing, doctors are able to focus on the right regions
of diagnosis and therapeutic reports with recommendations from the AI
assistant.
Smart Assistants: In the coming days smart assistants will be
able to imitate the functionality of human decision making that will not need a
rack full of servers for processing.
Automotive
Sector: Though
the sector is constantly innovating new technologies but in forthcoming years
the existing autonomous cars that rely upon human commands for the decision
will be able to make decisions like a human brain. Also, neuromorphic computing
will enable insight as well as a prediction in AI applications, creating a belief
in the assurance of AI decisions.
The report also includes the profiles of key
neuromorphic chip market companies along with their SWOT analysis and market
strategies. In addition, the report focuses on leading industry players with
information such as company profiles, components and services offered,
financial information of last 3 years, key development in past five years.
- aiCTX AG
- Applied Brain Research, Inc.
- BrainChip Holdings Ltd.
- General Vision.
- Hewlett Packard Enterprise
- HRL Laboratories, LLC.
- IBM Corp
- Intel Corporation.
- Qualcomm Technologies, Inc.
- Samsung Electronics Ltd.
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