• Skip to main content
  • Skip to secondary menu
  • Skip to footer

Technologies.org

Technology Trends: Follow the Money

  • Technology Events 2026-2027
  • Sponsored Post
  • Technology Markets
  • About
    • GDPR
  • Contact

Accenture, Airbus, GE and Hitachi Join Intel Neuromorphic Research Community

November 19, 2019 By admin Leave a Comment

What’s New: Today, Intel announced the first corporate members – Accenture, Airbus, GE and Hitachi – to join the fast-growing Intel Neuromorphic Research Community (INRC). The INRC has tripled in size over the past year and now has more than 75 organizations, spanning leading universities around the world, government labs, neuromorphic startup companies, and now several Fortune Global 500 members.

“Our collaborators around the world have made great progress on pioneering the basic tools, algorithms and methods needed to make Intel’s neuromorphic technology useful. We are now encouraging commercially oriented groups to join the community, and we are thrilled to welcome our first large corporate members to help push the technology forward. These groups bring important perspectives, ideas and challenges that can help advance the research from lab bench to real-world applications.”
–Mike Davies, director of Intel’s Neuromorphic Computing Lab

Why It’s Important: While neuromorphic computing is still in its infancy, the technology is gaining momentum, driven forward by companies large and small around the globe. If all technical challenges are solved in the next few years, analysts forecast the neuromorphic computing market could rise from $69 million in 2024 to $5 billion in 2029 – and $21.3 billion in 2034.

Intel’s Role: Intel created the INRC – bringing together leading researchers from academia, industry and government – to collaboratively tackle the challenges facing the field of neuromorphic computing. The addition of the first Fortune Global 500 members reflects a growing commercial interest in the technology, as well as the advancing maturity of the field for solving artificial intelligence (AI) problems that are not well suited to conventional deep learning methods. By mimicking the adaptive behavior of natural neural networks, neuromorphic technology promises to provide great gains in computing performance and energy efficiency for demanding applications, ranging from robotics to smart manufacturing to brain-computer interfaces.

Accenture, Airbus, GE and Hitachi are joining forces with Intel and other INRC members to create proof-of-concept applications that will bring the most value to their businesses. Intel will leverage the insights that come from this customer-centric research to inform the designs of future processors and systems. These engagements will ensure Intel remains strategically positioned at the forefront of neuromorphic technology commercialization.

What New Members are Researching:

Accenture: Working with 92 of the Fortune Global 100, Accenture provides services and solutions in strategy, consulting, digital, technology and operations to help clients shape their visions for the future. At the heart of this work are Accenture Labs’ applied R&D technologists, who deliver breakthrough ideas and technologies that generate new sources of competitive advantage and drive strategic impact for both Accenture and its clients.

Accenture Labs is exploring how the Intel Loihi neuromorphic processor can help enterprises prepare for a future that will require specialized computing and heterogeneous hardware to maximize computing power for workload-intensive operations – from smart vehicle interaction to distributed infrastructure monitoring to speech recognition.

“As artificial intelligence continues to permeate our world, neuromorphic computing has the potential to transform computing infrastructures to harness its potential in new ways,” said Edy Liongosari, chief research scientist at Accenture Labs. “As one of the first commercial research labs working with neuromorphic processors, Accenture Labs is exploring how neuromorphic computing can re-envision how systems learn and behave – to ultimately advance the way we live and work.”

Airbus: While Airbus is most well-known as a global leader in aerospace manufacturing, today cybersecurity forms a large and important part of its internal activity and market portfolio. Collaborating with Cardiff University, Airbus is exploring how Intel’s Loihi neuromorphic processor can advance existing in-house developed automated malware detection technology. The company expects the addition of Loihi’s real-time learning and scaling capabilities will enable both faster and more accurate malware detection, a time-critical problem. This will significantly aid the fight against ransomware, while at the same time operating at a low-power level that is well-suited for constant monitoring.

“In the rapidly evolving sphere of cybersecurity, AI, machine learning and automation will all be vital to protect and improve the resilience of critical systems and infrastructure. Airbus, in partnership with Cardiff University, is proud to be leading the way on research for AI-based cyber-attack detection and processing,” said Dr. Kevin Jones, global chief information security officer at Airbus.

GE: As GE works to create new value across its industrial products and services portfolio, the company is exploring how it can utilize the energy efficiency and novel learning approaches of Intel’s Loihi neuromorphic processor to improve industrial operations.

As part of this endeavor, GE will research how neuromorphic hardware can bring robust online learning to the edge of the industrial network to enable adaptive controls, autonomous inspection and unlock new capabilities such as real-time inline compression, which would improve data storage utilization and reduce the overall cost of operation.

“Intel’s Loihi neuromorphic processors have enormous potential to deliver new capabilities in AI and Edge computing,” said Joel Markham, chief engineer of the Edge Computing Lab at GE Research. “The flexibility in programming, ready access to the cloud-based resources and connections to a robust third-party neuromorphic computing ecosystem are all key factors industrial companies like GE require to transform complex industrial systems and networks.”

Hitachi: Hitachi is unique in the way it combines information technologies (IT) including AI, big data analytics and other digital technologies; operational technologies (OT) for system control and operation; and an extensive range of products. Through its Social Innovation Business, Hitachi is providing digital solutions to help resolve challenges faced by customers and society.

“Intel’s Loihi and Spiking Neural Networks have the potential to recognize and understand the time series data of many high-resolution cameras and sensors quickly,” said Norikatsu Takaura, chief researcher of the Research & Development Group at Hitachi Ltd. “Neuromorphic computing and its technology stack will improve the scalability and flexibility of edge computing systems.”
How the INRC Has Grown: Launched in 2018, the INRC is dedicated to developing and accelerating the capabilities of neuromorphic computing across commercial and academic environments. The community now comprises more than 75 groups from 17 countries, which is a three-times increase since last year.

More Information: Researchers interested in participating in the INRC and developing for Loihi can visit the Intel Neuromorphic Research Community website. A list of current members can also be found at the site.

About Intel
Intel (NASDAQ: INTC), a leader in the semiconductor industry, is shaping the data-centric future with computing and communications technology that is the foundation of the world’s innovations. The company’s engineering expertise is helping address the world’s greatest challenges as well as helping secure, power and connect billions of devices and the infrastructure of the smart, connected world – from the cloud to the network to the edge and everything in between. Find more information about Intel at newsroom.intel.com and intel.com.

1 I-Micronews: “Neuromorphic Sensing and Computing 2019,” September 2019.

Filed Under: Tech Tagged With: Intel Neuromorphic Research Community, neuromorphic computing market, neuromorphic technology

Reader Interactions

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Footer

Recent Posts

  • South Korea’s July Chip Exports Surge 180.6% as AI Supercycle Accelerates
  • How CuspAI’s Inverse Design AI Turns Materials Discovery Into a Search Engine
  • Etched in Talks to Raise Funds at $20 Billion Valuation, With a Separate $10 Billion Round Led by Sequoia
  • Moonshot AI Unveils Kimi K3, Raising the Bar for Open AI Models
  • Nvidia’s Open-Source Bet Is Really a Wager on Where AI Margin Settles
  • TerraFirma Raises $100M Series A to Turn Heavy Construction Equipment Into Robots
  • PrismML, the Startup That Shrinks AI Models to Run on an iPhone, Is in Talks With Apple
  • OpenAI’s First Device Will Be a Moveable, Screenless AI Companion Speaker
  • IBM’s 25% Stock Fall Is Beginning of the End for Old School Software Giant
  • Why a Six-Axis Robot Arm Is Staring at a Green-Headed Tanager

Media Partners

  • Market Analysis
  • Cybersecurity Market
  • App Coding
The Case for Shorting Budget Airlines as Oil Prices Rise
Morgan Stanley’s $2.3 Billion Capital Markets Haul Signals the AI Boom Is Just Getting Started
Blackstone’s Futronic Deal Bets on Actuators as AI Robotics’ Physical Bottleneck
Zhongji Innolight’s $8 Billion IPO Is a Customer Event for Marvell, Not a Competitive One
Wall Street Splits Between Oversupply Fears and an AI-Proof Supercycle Thesis
The AI Iron Curtain: Xi’s Shanghai Keynote Is the Fulton Speech of the AI Cold War
Enterprise Money Is Leaving Old School IBM for AI Infrastructure Companies
Why EU Tech Is Falling Behind the US: A Structural Diagnosis, Not a Cultural One
The HyperLight Threat to Coherent and Lumentum Ends Where Indium Phosphide Begins
SpaceX IPO (SPCX): A $1.75 Trillion Valuation Built on Selling 4% of the Company to People Who Watch Rocket Launches
Synthetic Insiders: How AI-Generated Fake Employees Are Bypassing Corporate Cyber Defenses
China’s Kimi K3 Model Is Strong but Not Yet a Frontier AI Security Risk
Risk Ledger Raises £24 Million Series B for Supply Chain Cyber Risk Platform
Cribl Acquires Israeli Threat Detection Startup CardinalOps for $100 Million
Cybersecurity Stocks Rally as IBM CEO Flags Cyber Fears as a Top Customer Priority
Trump Administration Launches “Gold Eagle” Federal Clearinghouse for AI Cyber Threat Sharing
JadePuffer: Researchers Document the First Fully Autonomous AI Ransomware Attack
Aikido Acquires Root for a Reported $70 Million to Patch Open Source Without Forcing Upgrades
The three-week freeze on Anthropic’s most capable models is over
Miasma Supply Chain Worm Jumps to Go and Now Executes Inside AI Coding Assistants
Asynchronous Programming in Python: How the Event Loop, Event Queue, and Thread Pool Fit Together
PixVerse Closes Series C Extension at $439 Million and Pivots From AI Video Into Games
DigitalOcean Launches AI-Native Cloud at Deploy 2026
Verdent Updates AI Platform to Function as a Full Engineering Team for Solo Builders
The Side Project App Is Not Dead. The Side Project App Business Is.
The App Monetization Landscape Has Changed and Most Teams Have Not Caught Up
Building Offline-First Mobile Apps Is Harder Than It Looks and Worth It
State Management in React Native Has Too Many Options and One Right Answer
Mobile Accessibility Is the Case Developers Keep Ignoring
Testing Mobile Apps at Scale Without Losing Your Mind

Media Partners

  • Market Research Media
  • Technology Conferences
  • API Coding
Getty Images Kills the $3.7 Billion Shutterstock Merger Rather Than Sell the Editorial Business the UK Demanded
Fox’s $22B Roku Deal: 4.6x Sales, Paid in 1.5x Stock
Tuesday Open: AI Earnings Engine Holds the Line as Iran Overhang Fades to Noise
China’s U.S. Treasury Holdings: The Great Repositioning (2021–2025)
Infographic: Why the 2025 CIPA Data Proves the APS-C Renaissance is Real
How WiFi Changed Media
Canva Acquires Simtheory and Ortto to Build End-to-End Work Platform
Netflix Price Hikes, The Economics of Dominance in a Saturated Streaming Market
America’s Brands Keep Winning Even as America Itself Slips
Kioxia’s Storage Gambit: Flash Steps Into the AI Memory Hierarchy
2026 Esri User Conference — July 13–17, San Diego
HubSpot UNBOUND 2026: Analyst Day Set for September 17 in Boston
The Signal for the Event-Tech Sector
The 10 Most Significant Tech Events and Earnings to Watch This Summer
RAISE Summit, July 8-9 2026, Paris
CJS Securities 26th Annual New Ideas Summer Conference, July 9, 2026, White Plains, NY
SEMICON West 2026, October 13–15, San Francisco
Deutsche Bank Technology Conference 2026, August, Dana Point
ECOC 2026, September 20–24, Málaga
Citi Global Technology Conference 2026, September, New York
Why Private Domain Data Is the Real Key to AI That Actually Works
Orkes Raises $60M to Bring Production-Grade AI Orchestration to Enterprise Developers
Form.io Launches MCP Server and Agentic Coding Toolset for Governed Enterprise AI Development
Appdome Upgrades MobileBOT Defense With Identity-First Mobile API Protection
Five SDK Generators Compared: Speakeasy, Stainless, Fern, APIMatic, and OpenAPI Generator
API Monetization Models That Work and the Ones That Drive Developers Away
gRPC in Production: What the Documentation Doesn't Tell You
Event-Driven Architecture vs Request-Response: Choosing the Right Communication Pattern
The Business Case for Internal APIs That Most Engineering Leaders Ignore
Breaking Changes: How to Avoid Shipping Them and What to Do When You Must

Copyright © 2026 Technologies.org

Media Partners: Market Analysis · Market Research · Referently · Photography