Self-learning Neuromorphic Chip Market- Introduction

In future where complex decisions could be made sooner and familiarize over the time. The societal and industrial problems could be autonomously solved using learned experiences. And responders using image-recognition applications could analyze streetlight camera images and quickly find out the lost or kidnapped person reports. Here stoplights would automatically adjust its timing to sync with the flow of traffic, reducing gridlock and optimizing starts and stops. It would be possible that the robots are more autonomous and performance efficiency is dramatically increased.

 Intel has recently developed the first self-learning neuromorphic that chip has a code name “Loihi”. This chip mimics how the brain functions by learning how to operate that consider numerous modes of feedback from the environment. This chip are energy-efficient, that uses the data to learn and make implications, gets smarter over time and does not need to be trained in the traditional way. It takes a novel approach to computing via asynchronous spiking. The neuromorphic core includes a learning engine that can be programmed to adapt network parameters at the time of operation, supporting supervised, unsupervised, reinforcement and other learning paradigms.

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Self-learning Neuromorphic Chip Market – Competitive Landscape

Intel Corporation

Founded in 1989, Intel Corporation is engaged in design, manufacture, and selling of computer components and related products. The major products of the company are microprocessors, chipsets, embedded processors and microcontrollers, flash memory, graphic, network and communication, systems management software, conferencing, and digital imaging products. The company has strong Research and development department that focuses of the new technological innovations. Intel is the first company to introduce the idea of Self-learning Neuromorphic Chip.

IBM

Headquartered in Armonk, New York, IBM full name International Business Machines Corporation is an American multinational IT company. The company has its operating units in more than 177 countries. The company produces and sells computer middleware, hardware & software, and is engaged in hosting and consulting services in areas ranging from mainframe computers to nanotechnology. The company focuses on adapting new technological advancements in every possible area.

Qualcomm

Founded in 1935, Qualcomm Incorporated is a semiconductor and telecommunications equipment company that is engaged in designing and marketing the wireless telecommunications products and services. The company originates most of its income from chip making and the bulk of its profit from patent licensing businesses. The company has many patented products and would be adapting the Neuromorphic Chip for the best services to the customers and competing with the other major players in the market.

HRL Laboratories

The HRL Laboratories LLC Company established in 1948, is engaged in corporate research and development services. The Company offers technology solutions for defense, aerospace, automotive, and consumer products applications. HRL Laboratories serves customers its customers largely in various countries internationally. It was formerly known as Hughes Research Laboratories. The company also serves the Government and commercial contracts as a prime or sub-contractor.

Hewlett-Packard

The company is known by the name HP, it was incorporated in 1998. Hewlett- Packard is a company engaged in facilitating products, technologies, software, solutions and services to individual consumers, small- and medium-sized businesses (SMBs), and large enterprises, including customers in the government, health and education sectors. The Company also delivers personal computing and other access devices, imaging and printing products, and related technologies, solutions and services.

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Some of the key players operating in the global Self-learning Neuromorphic Chip market with significant developments include IBM, Qualcomm, HRL Laboratories, General Vision, Numenta, Hewlett-Packard, Samsung Group, Intel Corporation, Applied Brain Research Inc., Brainchip Holdings Ltd. and others.

Self-learning Neuromorphic Chip Market – Dynamics

Ongoing Technological Advancements in Healthcare IT

Machine learning replicas such as deep learning have made tremendous recent advancements by using extensive training datasets to recognize objects and events. However, unless their training sets have specifically accounted for a particular element, situation or circumstance, these machine learning systems do not simplify very well. The potential benefits from self-learning chips are limitless. One example provides a person’s heartbeat reading under various conditions – after jogging, following a meal or before going to bed – to a neuromorphic-based system that parses the data to determine a “normal” heartbeat. The system can then continuously monitor incoming heart data in order to flag patterns that do not match the “normal” pattern. The system could be personalized for any user. The applications such as continues patient monitoring with these electronic chips are expected to drive the market for self-learning neuromorphic chip.

Global Self-learning Neuromorphic Chip Market – Segmentation

The Self-learning Neuromorphic Chip market can be bifurcated on the basis of:

  • Application
  • Region

Self-learning Neuromorphic Chip Market Segmentation – By Application

On the basis of the application, the Self-learning Neuromorphic Chip market can be fragmented into:

  • Medical
  • Cyber security
  • Others

The report offers a comprehensive evaluation of the market. It does so via in-depth qualitative insights, historical data, and verifiable projections about market size. The projections featured in the report have been derived using proven research methodologies and assumptions. By doing so, the research report serves as a repository of analysis and information for every facet of the market, including but not limited to: Regional markets, technology, types, and applications.

The study is a source of reliable data on:

  • Market segments and sub-segments
  • Market trends and dynamics
  • Supply and demand
  • Market size
  • Current trends/opportunities/challenges
  • Competitive landscape
  • Technological breakthroughs
  • Value chain and stakeholder analysis

The regional analysis covers:

  • North America (U.S. and Canada)
  • Latin America (Mexico, Brazil, Peru, Chile, and others)
  • Western Europe (Germany, U.K., France, Spain, Italy, Nordic countries, Belgium, Netherlands, and Luxembourg)
  • Eastern Europe (Poland and Russia)
  • Asia Pacific (China, India, Japan, ASEAN, Australia, and New Zealand)
  • Middle East and Africa (GCC, Southern Africa, and North Africa)

The report has been compiled through extensive primary research (through interviews, surveys, and observations of seasoned analysts) and secondary research (which entails reputable paid sources, trade journals, and industry body databases). The report also features a complete qualitative and quantitative assessment by analyzing data gathered from industry analysts and market participants across key points in the industry’s value chain.

A separate analysis of prevailing trends in the parent market, macro- and micro-economic indicators, and regulations and mandates is included under the purview of the study. By doing so, the report projects the attractiveness of each major segment over the forecast period.

Highlights of the report:

  • A complete backdrop analysis, which includes an assessment of the parent market
  • Important changes in market dynamics
  • Market segmentation up to the second or third level
  • Historical, current, and projected size of the market from the standpoint of both value and volume
  • Reporting and evaluation of recent industry developments
  • Market shares and strategies of key players
  • Emerging niche segments and regional markets
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Selflearning Neuromorphic Chip Market

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