Neuromorphic engineering

Ericsson and MIT enter into collaboration agreements to research next generation of mobile networks

Retrieved on: 
Thursday, July 8, 2021
Technology, Articles, Science and technology, Emerging technologies, Artificial intelligence, Ambient intelligence, Internet of things, Electrical engineering, Neuromorphic engineering, Ericsson, 5G

Ericsson is working to research cognitive networks, which rely on artificial intelligence (AI) to enable a secure, highly automized, data-driven network operation.

Key Points: 
  • Ericsson is working to research cognitive networks, which rely on artificial intelligence (AI) to enable a secure, highly automized, data-driven network operation.
  • To improve the compute power, speed and energy efficiency of cognitive networks, Ericsson Research and the MIT Materials Research Laboratory are collaborating to research new designs in lithionic chips enabling neuromorphic computing, offering exponentially more energy efficient AI processing.
  • In addition to research on lithionics, Ericsson and the MIT Research Laboratory of Electronics (RLE) are collaborating on research of mobile networks that connect trillions of sensors and other "zero-energy" devices around us.
  • "5G is leading to a fully-realized IoT and bringing us closer to a truly connected world," said Magnus Frodigh, Head of Ericsson Research.

Global Neuromorphic Computing Market Report 2021: Image Recognition, Signal Recognition, Data Mining - Forecast to 2026 - ResearchAndMarkets.com

Retrieved on: 
Thursday, June 3, 2021
Software, Technology, Other Technology, Artificial intelligence, Robotics, Electrical engineering, Neuromorphic engineering, Neuroscience, Academic disciplines, Articles

The "Global Neuromorphic Computing Market With COVID-19 Impact by Offering, Deployment, Application (Image Recognition, Signal Recognition, Data Mining), Vertical (Aerospace, Military, & Defense, Automotive, Medical) and Geography - Forecast to 2026" report has been added to ResearchAndMarkets.com's offering.

Key Points: 
  • The "Global Neuromorphic Computing Market With COVID-19 Impact by Offering, Deployment, Application (Image Recognition, Signal Recognition, Data Mining), Vertical (Aerospace, Military, & Defense, Automotive, Medical) and Geography - Forecast to 2026" report has been added to ResearchAndMarkets.com's offering.
  • The edge computing segment is expected to account for a 95% share of the overall neuromorphic computing market by 2026.
  • APAC is expected to hold the second-largest share of ~37% of the global neuromorphic computing market in 2021.
  • Countries such as China, Japan, and South Korea are expected to be the major contributors to the neuromorphic computing market in APAC.

Neuromorphic Computing Market worth $ 3508.56 Million, Globally, by 2028 at 88.50 % CAGR: Verified Market Research™

Retrieved on: 
Tuesday, June 1, 2021
Artificial intelligence, Branches of biology, Electrical engineering, Neuromorphic engineering, Neuroscience, Robotics, Academic disciplines, Central processing unit, Engineering

According to Verified Market Research, the Global Neuromorphic Computing Market was valued at USD 22.06 Million in 2020 and is projected to reach USD 3508.56 Million by 2028, growing at a CAGR of 88.50% from 2021 to 2028.

Key Points: 
  • According to Verified Market Research, the Global Neuromorphic Computing Market was valued at USD 22.06 Million in 2020 and is projected to reach USD 3508.56 Million by 2028, growing at a CAGR of 88.50% from 2021 to 2028.
  • An important driver for growth of the Global Neuromorphic Computing market is the growing need for high performance Integrated Circuits.
  • Neuromorphic chips can greatly reduce transportation times expended by a conventional CPU by processing and storing data in the same chip.
  • Verified Market Research has segmented the Global Neuromorphic Computing Market On the basis of Deployment, Offering, Application, Vertical and Geography.

Neuromorphic Computing Market worth $ 3508.56 Million, Globally, by 2028 at 88.50 % CAGR: Verified Market Research™

Retrieved on: 
Tuesday, June 1, 2021
Artificial intelligence, Branches of biology, Electrical engineering, Neuromorphic engineering, Neuroscience, Robotics, Academic disciplines, Central processing unit, Engineering

According to Verified Market Research, the Global Neuromorphic Computing Market was valued at USD 22.06 Million in 2020 and is projected to reach USD 3508.56 Million by 2028, growing at a CAGR of 88.50% from 2021 to 2028.

Key Points: 
  • According to Verified Market Research, the Global Neuromorphic Computing Market was valued at USD 22.06 Million in 2020 and is projected to reach USD 3508.56 Million by 2028, growing at a CAGR of 88.50% from 2021 to 2028.
  • An important driver for growth of the Global Neuromorphic Computing market is the growing need for high performance Integrated Circuits.
  • Neuromorphic chips can greatly reduce transportation times expended by a conventional CPU by processing and storing data in the same chip.
  • Verified Market Research has segmented the Global Neuromorphic Computing Market On the basis of Deployment, Offering, Application, Vertical and Geography.

BrainChip Demonstrates Akida Neuromorphic Processor as Part of Data Science Week

Retrieved on: 
Monday, May 10, 2021
Semiconductor, Data management, Technology, Other Technology, Software, Hardware, Artificial intelligence, Branches of biology, Smart city, Neuromorphic engineering, Smart transducer, Academic disciplines, Draft:Brainchip

(ASX: BRN), a leading provider of ultra-low power, high-performance AI technology, will showcase its new AKD1000 neuromorphic (non-von Neumann) processor chip as part of Data Science Week (DSW) 14 May at 10 a.m. AWST.\nDSW brings together a community of data scientists across Australia to network and discuss trending topics and areas across scientific domains.

Key Points: 
  • (ASX: BRN), a leading provider of ultra-low power, high-performance AI technology, will showcase its new AKD1000 neuromorphic (non-von Neumann) processor chip as part of Data Science Week (DSW) 14 May at 10 a.m. AWST.\nDSW brings together a community of data scientists across Australia to network and discuss trending topics and areas across scientific domains.
  • The solution is high-performance, small, ultra-low power and enables a wide array of edge capabilities.
  • The Akida (NSoC) and intellectual property, can be used in applications including Smart Home, Smart Health, Smart City and Smart Transportation.
  • Akida is designed to provide a complete ultra-low power and fast AI Edge Network for vision, audio, olfactory and smart transducer applications.

Neuromorphic Computing Market worth $550,593 thousand by 2026 - Exclusive Report by MarketsandMarkets™

Retrieved on: 
Tuesday, May 4, 2021
Robotics, Artificial intelligence, Academic disciplines, Technology, Electrical engineering, Neuromorphic engineering, Neuroscience, Science and technology, Unmanned aerial vehicle

However, several factors, such as lack of knowledge about neuromorphic computing and complex algorithms increasing complexity of designing hardware of neuromorphic chips are hindering the growth of neuromorphic computing market.

Key Points: 
  • However, several factors, such as lack of knowledge about neuromorphic computing and complex algorithms increasing complexity of designing hardware of neuromorphic chips are hindering the growth of neuromorphic computing market.
  • While the increasing adoption of software in industries such as aerospace & defense, IT & telecom, and medical would drive the growth of the market for neuromorphic computing software during the forecast period to register a higher CAGR.\nImage Recognition is expected to witness rapid growth in the overall neuromorphic computing market.
  • The growth of the image recognition segment is expected to be driven by the increasing adoption of drones and UAVs.
  • Video monitoring and machine vision are the major uses driving the growth of the market for image recognition.\nThe edge computing segment is expected to account for a 95% share of the overall neuromorphic computing market by 2026.

Neuromorphic Computing Market worth $550,593 thousand by 2026 - Exclusive Report by MarketsandMarkets™

Retrieved on: 
Tuesday, May 4, 2021
Robotics, Artificial intelligence, Academic disciplines, Technology, Electrical engineering, Neuromorphic engineering, Neuroscience, Science and technology, Unmanned aerial vehicle

However, several factors, such as lack of knowledge about neuromorphic computing and complex algorithms increasing complexity of designing hardware of neuromorphic chips are hindering the growth of neuromorphic computing market.

Key Points: 
  • However, several factors, such as lack of knowledge about neuromorphic computing and complex algorithms increasing complexity of designing hardware of neuromorphic chips are hindering the growth of neuromorphic computing market.
  • While the increasing adoption of software in industries such as aerospace & defense, IT & telecom, and medical would drive the growth of the market for neuromorphic computing software during the forecast period to register a higher CAGR.\nImage Recognition is expected to witness rapid growth in the overall neuromorphic computing market.
  • The growth of the image recognition segment is expected to be driven by the increasing adoption of drones and UAVs.
  • Video monitoring and machine vision are the major uses driving the growth of the market for image recognition.\nThe edge computing segment is expected to account for a 95% share of the overall neuromorphic computing market by 2026.

Global Neuromorphic Chip Market (2021 to 2026) - Growth, Trends, COVID-19 Impact, and Forecasts - ResearchAndMarkets.com

Retrieved on: 
Tuesday, May 4, 2021
Technology, Hardware, Artificial intelligence, Branches of biology, Electrical engineering, Neuromorphic engineering, Neuroscience, Robotics, Academic disciplines, Cognitive computer

b'The automotive industry is one of the fastest-growing industries for neuromorphic chips.

Key Points: 
  • b'The automotive industry is one of the fastest-growing industries for neuromorphic chips.
  • Recently, in October 2017, BrainChip Holdings Ltd supplied neuromorphic chip to one of the top automobile companies in Germany, to test its ADAS capability.\nIntel\'s Loihi neuromorphic chip has 128 cores and 130,000 neurons.
  • The major driver behind the investments has been the continuous evolution and application of new technologies to unlock enormous volumes that were previously considered non-commercial.
  • In the present scenario, challenges exist in the mobile and autonomous realms due to the limiting factors of power, weight, and size of computing devices commonly referred to as SWaP.

BrainChip Begins Volume Production of Akida AI Processor

Retrieved on: 
Wednesday, April 14, 2021
Engineering, Semiconductor, Technology, Manufacturing, Software, Networks, Hardware, Artificial intelligence, Electrical engineering, Neuromorphic engineering, Neuroscience, Robotics, Draft:Brainchip, Academic disciplines, Smart transducer, Smart city

(ASX: BRN), a leading provider of ultra-low power, high-performance AI technology, announced today that it has begun volume manufacturing of its Akida\xe2\x84\xa2 AKD1000 neuromorphic processor chip for edge AI devices.\nThe engineering layout for BrainChip\xe2\x80\x99s high-performance, ultra-low power chip was designed in partnership with Socionext , a global developer of advanced SoC solutions.

Key Points: 
  • (ASX: BRN), a leading provider of ultra-low power, high-performance AI technology, announced today that it has begun volume manufacturing of its Akida\xe2\x84\xa2 AKD1000 neuromorphic processor chip for edge AI devices.\nThe engineering layout for BrainChip\xe2\x80\x99s high-performance, ultra-low power chip was designed in partnership with Socionext , a global developer of advanced SoC solutions.
  • The Akida (NSoC) and intellectual property can be used in applications including Smart Home, Smart Health, Smart City and Smart Transportation.
  • 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.
  • Akida is designed to provide a complete ultra-low power and fast AI Edge Network for vision, audio, olfactory and smart transducer applications.

BrainChip Releases Fourth Episode in ‘This is our Mission’ Series

Retrieved on: 
Thursday, February 25, 2021
Software, Technology, Hardware, Semiconductor, Artificial intelligence, Electrical engineering, Neuromorphic engineering, Neuroscience, Robotics, SEMI, Semiconductor industry, Draft:Brainchip

Mankar is an experienced semiconductor industry executive with great insight in driving business strategy for product development of system-level semiconductor products.

Key Points: 
  • Mankar is an experienced semiconductor industry executive with great insight in driving business strategy for product development of system-level semiconductor products.
  • In this fourth episode of the series, he discusses with host Louis DiNardo, BrainChips CEO, the companys industrial advantages and the market benefits of its Akida neuromorphic processor.
  • Among the topics covered are Beneficial AI, revolutionizing AI at the Edge, incremental learning and more.
  • As the second founder of the company, Anil is the Chip in BrainChip and has tremendous insight into the semiconductor industry in general and the success of BrainChip and Akida specifically, said DiNardo.