The Global Neuromorphic Computing & Sensing Market 2027-2037

Table of Contents

1. Executive Summary

• 1.1 Overview of the Neuromorphic Computing and Sensing Market
  • 1.1.1 Market Performance 2024-2026
  • 1.1.2 Revised Long-Term Projections Through
  • 1.1.3 Global Market Revenues 2024-2037
  • 1.1.4 Market Segmentation
• 1.2 Ending of Moore’s Law
• 1.3 Historical Market
• 1.4 The Market in
• 1.5 Key Market Trends and Growth Drivers
• 1.6 Market Challenges and Limitations
• 1.7 System Deployments
• 1.8 Key Industry Insights
  • 1.8.1 Digital Neuromorphic Designs Replacing Analog Implementations
  • 1.8.2 The Programming Paradigm Gap
  • 1.8.3 Cost and Scalability Considerations
• 1.9 Future Outlook and Opportunities
  • 1.9.1 Emerging Trends
  • 1.9.2 Technology Roadmap
• 1.10 Key Product Launches (2024-2026)
  • 1.10.1 Intel Hala Point System (April 2024)
  • 1.10.2 Innatera T1 SNP Processor (CES 2025)
  • 1.10.3 BrainChip Akida Pulsar
  • 1.10.4 BrainChip Akida Cloud (August 2025)
  • 1.10.5 SynSense Speck 2.0
  • 1.10.6 Chinese Academy of Sciences SpikingBrain-1.0
  • 1.10.7 Flourish AI $500M Private Round (2026)
  • 1.10.8 Unconventional AI $475M Seed Round (2025)
  • 1.10.9 CyberSwarm Series A and Memristor Chip Sampling (2026)
• 1.11 Neuromorphic Computing and Generative AI
• 1.12 Market Value Chain
• 1.13 Market Map
• 1.14 Funding and Investments
  • 1.14.1 Government & Institutional Funding
  • 1.14.2 Venture Capital & Private Equity Flows
• 1.15 Strategic Partnerships and Collaborations
• 1.16 Regulatory and Ethical Considerations
  • 1.16.1 Data Privacy and Security
  • 1.16.2 Bias and Fairness in Neuromorphic Systems
  • 1.16.3 Intellectual Property and Patent Landscape
• 1.17 Sustainability and Environmental Impact
  • 1.17.1 Carbon Footprint Analysis of Neuromorphic Systems
  • 1.17.2 Energy Efficiency Metrics and Benchmarking
  • 1.17.3 Green Manufacturing Practices
  • 1.17.4 End-of-life and Recycling Considerations
  • 1.17.5 Environmental Regulations Compliance

2. Introduction

• 2.1 Definition and Concept of Neuromorphic Computing and Sensing
• 2.2 Main Neuromorphic Approaches
  • 2.2.1 Large-scale Hardware Neuromorphic Computing Systems
  • 2.2.2 Non-volatile Memory Technologies
  • 2.2.3 Advanced Memristive Materials and Devices
• 2.3 Fabrication Processes for Neuromorphic Systems
• 2.4 Key Material Suppliers
• 2.5 Supply Chain Vulnerabilities and Mitigation
• 2.6 Manufacturing Capacity Analysis
• 2.7 Quality Control and Testing Procedures
• 2.8 Comparison with Traditional Computing and Sensing Approaches
• 2.9 Neuromorphic Computing Vs. Quantum Computing
• 2.10 Key Features and Advantages
  • 2.10.1 Low Latency and Real-time Processing
  • 2.10.2 Power Efficiency and Energy Savings
  • 2.10.3 Scalability and Adaptability
  • 2.10.4 Online Learning and Autonomous Decision-making
• 2.11 Markets and Applications
  • 2.11.1 Edge AI and IoT
  • 2.11.2 Autonomous Vehicles and Robotics
  • 2.11.3 Cybersecurity and Anomaly Detection
  • 2.11.4 Smart Sensors and Monitoring Systems
  • 2.11.5 Datacenter and High-Performance Computing

3. Neuromorphic Computing Technologies and Architecture

• 3.1 Spiking Neural Networks (SNNs)
  • 3.1.1 Biological Inspiration and Principles
  • 3.1.2 Types of SNNs and Their Characteristics
  • 3.1.3 Advantages and Limitations of SNNs
• 3.2 Memory Architectures for Neuromorphic Computing
  • 3.2.1 Conventional Memory Approaches (SRAM, DRAM)
  • 3.2.2 Emerging Non-volatile Memory (eNVM) Technologies
  • 3.2.3 In-memory Computing and Near-memory Computing
  • 3.2.4 Hybrid Memory Architectures
• 3.3 Neuromorphic Hardware and Processors
  • 3.3.1 Digital Neuromorphic Processors
  • 3.3.2 Analog Neuromorphic Processors
  • 3.3.3 Mixed-signal Neuromorphic Processors
  • 3.3.4 FPGA-based Neuromorphic Systems
  • 3.3.5 Neuromorphic Accelerators and Co-processors
• 3.4 Software and Frameworks for Neuromorphic Computing
  • 3.4.1 Neuromorphic Programming Languages and Tools
  • 3.4.2 Neuromorphic Simulation Platforms and Frameworks
  • 3.4.3 Software and Programming Ecosystem Developments
  • 3.4.4 Neuromorphic Algorithm Libraries and Repositories
  • 3.4.5 Neuromorphic Software Development Kits (SDKs)

4. Neuromorphic Sensing Technologies and Architectures

• 4.1 Event-Based Sensors and Processing
  • 4.1.1 Neuromorphic Vision Sensors
  • 4.1.2 Neuromorphic Auditory Sensors
  • 4.1.3 Neuromorphic Olfactory Sensors
  • 4.1.4 Event-driven Processing and Algorithms
• 4.2 Hybrid Sensing Approaches
  • 4.2.1 Combination of Conventional and Event-based Sensors
  • 4.2.2 Fusion of Multiple Sensing Modalities
  • 4.2.3 Advantages and Challenges of Hybrid Sensing
• 4.3 Neuromorphic Sensor Architectures and Designs
  • 4.3.1 Pixel-level Processing and Computation
  • 4.3.2 Sensor-processor Co-design and Integration
  • 4.3.3 Bio-inspired Sensor Designs and Materials
• 4.4 Signal Processing and Feature Extraction Techniques
  • 4.4.1 Spike-based Encoding and Decoding
  • 4.4.2 Temporal and Spatiotemporal Feature Extraction
  • 4.4.3 Neuromorphic Filtering and Denoising
  • 4.4.4 Adaptive and Learning-Based Processing

5. Market Analysis and Forecasts

• 5.1 Commercial Deployment Highlights
  • 5.1.1 IoT and Edge Deployments
  • 5.1.2 Automotive Applications: Mercedes-Benz
  • 5.1.3 Telecommunications: Ericsson Research
  • 5.1.4 Healthcare: ALYN Hospital Collaboration
  • 5.1.5 Cybersecurity Applications
• 5.2 Mobile and Consumer
  • 5.2.1 Applications
  • 5.2.2 Technology Roadmap
  • 5.2.3 Smartphones and Wearables
  • 5.2.4 Smart Home and IoT Devices
  • 5.2.5 Consumer Health and Wellness
  • 5.2.6 Entertainment and Gaming
  • 5.2.7 Market Size and Forecast, in Mobile and Consumer Applications (2024-2037), Millions USD.
• 5.3 Automotive and Transportation
  • 5.3.1 Applications
  • 5.3.2 Technology Roadmap
  • 5.3.3 Advanced Driver Assistance Systems (ADAS)
  • 5.3.4 Autonomous Vehicles and Robotaxis
  • 5.3.5 Vehicle Infotainment and User Experience
  • 5.3.6 Smart Traffic Management and Infrastructure
  • 5.3.7 Market Size and Forecast, in Automotive and Transportation (2024-2037), Millions USD.
• 5.4 Industrial and Manufacturing
  • 5.4.1 Applications
  • 5.4.2 Technology Roadmap
  • 5.4.3 Industrial IoT and Smart Factories
  • 5.4.4 Predictive Maintenance and Anomaly Detection
  • 5.4.5 Quality Control and Inspection
  • 5.4.6 Logistics and Supply Chain Optimization
  • 5.4.7 Market Size and Forecast, in Industrial and Manufacturing (2024-2037), Millions USD.
• 5.5 Healthcare and Medical Devices
  • 5.5.1 Applications
  • 5.5.2 Technology Roadmap
  • 5.5.3 Medical Imaging and Diagnostics
  • 5.5.4 Wearable Health Monitoring Devices
  • 5.5.5 Personalized Medicine and Drug Discovery
  • 5.5.6 Assistive Technologies and Prosthetics
  • 5.5.7 Market Size and Forecast, in Healthcare and Medical Devices (2024-2037), Millions USD
• 5.6 Aerospace and Defense
  • 5.6.1 Applications
  • 5.6.2 Technology Roadmap
  • 5.6.3 Unmanned Aerial Vehicles (UAVs) and Drones
  • 5.6.4 Satellite Imaging and Remote Sensing
  • 5.6.5 Missile Guidance and Target Recognition
  • 5.6.6 Cybersecurity and Threat Detection:
  • 5.6.7 Market Size and Forecast, in Aerospace and Defence (2024-2037), Millions USD
• 5.7 Datacenters and Cloud Services
  • 5.7.1 Applications
  • 5.7.2 Technology Roadmap
  • 5.7.3 High-performance Computing and Scientific Simulations:
  • 5.7.4 Big Data Analytics and Machine Learning
  • 5.7.5 Cloud-based AI Services and Platforms
  • 5.7.6 Energy-efficient Datacenter Infrastructure
  • 5.7.7 Market Size and Forecast, in Datacenters and Cloud Services (2024-2037), Millions USD
• 5.8 Regional Market Analysis and Forecasts
  • 5.8.1 North America
  • 5.8.2 Europe
  • 5.8.3 Asia-Pacific
  • 5.8.4 Rest of the World
• 5.9 Competitive Landscape and Key Players
  • 5.9.1 Overview of the Neuromorphic Computing and Sensing Ecosystem
  • 5.9.2 Neuromorphic Chip Manufacturers and Processors
  • 5.9.3 Neuromorphic Sensor Manufacturers
  • 5.9.4 Emerging Non-Volatile Memory (eNVM) Manufacturers
  • 5.9.5 Neuromorphic Software and Framework Providers
  • 5.9.6 Research Institutions and Academia
• 5.10 Competing Emerging Technologies
  • 5.10.1 Quantum Computing
  • 5.10.2 Photonic Computing
  • 5.10.3 DNA Computing
  • 5.10.4 Spintronic Computing
  • 5.10.5 Chemical Computing
  • 5.10.6 Superconducting Computing
  • 5.10.7 Analog AI Chips
  • 5.10.8 In-Memory Computing
  • 5.10.9 Reversible Computing
  • 5.10.10 Quantum Dot Computing
  • 5.10.11 Technology Substitution Analysis
  • 5.10.12 Migration Pathways
  • 5.10.13 Comparative Advantages/Disadvantages

6. Company Profiles (154 company profiles)

7. Convergence with the Broader Neural Networks Market

• 7.1 Neuromorphic Computing in the Neural Networks Ecosystem
• 7.2 Growth Trajectory of Novel Neural Network Hardware
• 7.3 Spiking Neural Networks and Architecture Convergence
• 7.4 Key Neuromorphic Companies Within the Neural Networks Landscape
• 7.5 Energy Efficiency as a Structural Driver

8. Research Scope & Methodology

9. References

List of Tables

• Table 1. Overview of the neuromorphic computing and sensing market.
• Table 2. Global market for neuromorphic computing and sensors, 2024-2037 (Billions USD).
• Table 3. Neuromorphic Computing and Sensing Market Segmentation 2020-2037.
• Table 4. Key market trends and growth drivers.
• Table 5. Market challenges and limitations.
• Table 6. Emerging Trends in Neuromorphic Computing and Sensing
• Table 7. Key Product Launches in Neuromorphic Computing and Sensing, 2024–2026
• Table 8. Neuromorphic computing and generative AI strategies.
• Table 9. Funding and investments in neuromorphic computing and sensing.
• Table 10. Strategic Partnerships and Collaborations in the Neuromorphic Industry.
• Table 11. Regulatory and Ethical Considerations of neuromorphic computing & sensing.
• Table 12. Main neuromorphic sensing approaches.
• Table 13. Main Neuromorphic Computing Approaches.
• Table 14. Resistive Non-Volatile Memory (NVM) Technologies.
• Table 15. Advanced Memristive Materials, Devices, and Novel Computation Concepts.
• Table 16. Fabrication Processes for Neuromorphic Systems.
• Table 17. Key Material Suppliers and Dependencies.
• Table 18. Comparison with traditional computing and sensing approaches.
• Table 19. Comparison between neuromorphic and quantum computing.
• Table 20. Key features and advantages of neuromorphic computing and sensing.
• Table 21. Markets and Applications of Neuromorphic Computing and Sensing
• Table 22. Von neumann architecture versus neuromorphic architecture.
• Table 23. Types of SNNs and their characteristics.
• Table 24. Advantages and limitations of SNNs.
• Table 25. Conventional memory approaches (SRAM, DRAM).
• Table 26. Emerging non-volatile memory (eNVM) technologies.
• Table 27. Hybrid memory architectures.
• Table 28. Neuromorphic Accelerators and Co-Processors (Updated 2026)
• Table 29. Neuromorphic programming languages and tools.
• Table 30. Neuromorphic simulation platforms and frameworks.
• Table 31. Neuromorphic Software Ecosystem 2025-2037
• Table 32. Software Ecosystem Maturity Timeline
• Table 33. Neuromorphic algorithm libraries and repositories.
• Table 34. Neuromorphic software development kits (SDKs).
• Table 35. Hybrid sensing approaches.
• Table 36. Advantages and challenges of hybrid sensing.
• Table 37. Bio-inspired sensor designs and materials.
• Table 38. Signal Processing and Feature Extraction Techniques.
• Table 39. Neuromorphic Computing Applications in Cybersecurity: Use Cases, Players and Deployment Status 2026
• Table 40. Neuromorphic Computing Applications in Cybersecurity: Commercial Application Milestones 2024–2026.
• Table 41. Neuromorphic Computing and Sensing Applications in Mobile and Consumer Electronics: Use Cases, Players and Market Status, 2026–2037
• Table 42. Applications of neuromorphic computing and sensing in smartphones and wearables-advantages, limitations and likelihood of market penetration by application.
• Table 43. Applications of neuromorphic computing and sensing in smart homes and IoT devices- advantages, limitations and likelihood of market penetration by application.
• Table 44. Applications of neuromorphic computing and sensing in Consumer Health and Wellness-- advantages, limitations and likelihood of market penetration by application.
• Table 45. Applications of neuromorphic computing and sensing in Entertainment and Gaming-advantages, limitations and likelihood of market penetration by application.
• Table 46. Global Neuromorphic Computing and Sensing Market Size and Forecast, in Mobile and Consumer Applications (2024-2037), millions USD.
• Table 47. Neuromorphic Computing and Sensing Applications in Automotive and Transportation: Use Cases, Players and Market Status, 2026–2037
• Table 48. Applications of neuromorphic computing and sensing in Advanced Driver Assistance Systems (ADAS) -advantages, limitations and likelihood of market penetration by application.
• Table 49. Applications of neuromorphic computing and sensing in Autonomous Vehicles and Robotaxis-advantages, limitations and likelihood of market penetration by application.
• Table 50. Applications of neuromorphic computing and sensing in Vehicle infotainment and user experience-advantages, limitations and likelihood of market penetration by application.
• Table 51. Applications of neuromorphic computing and sensing in Vehicle infotainment and user experience-advantages, limitations and likelihood of market penetration by application.
• Table 52. Global Neuromorphic Computing and Sensing Market Size and Forecast, in Automotive and Transportation (2024-2037), millions USD.
• Table 53. Neuromorphic Computing and Sensing Applications in Industrial and Manufacturing: Use Cases, Players and Market Status, 2026–2037
• Table 54. Applications of neuromorphic computing and sensing in Industrial IoT and smart factories-advantages, limitations and likelihood of market penetration by application.
• Table 55. Applications of neuromorphic computing and sensing in Industrial IoT and smart factories-advantages, limitations and likelihood of market penetration by application.
• Table 56. Applications of neuromorphic computing and sensing in Quality control and inspection-advantages, limitations and likelihood of market penetration by application.
• Table 57. Applications of neuromorphic computing and sensing in Logistics and supply chain optimization-advantages, limitations and likelihood of market penetration by application.
• Table 58. Global Neuromorphic Computing and Sensing Market Size and Forecast, in Industrial and Manufacturing (2024-2037), millions USD.
• Table 59. Neuromorphic Computing and Sensing Applications in Healthcare and Medical: Use Cases, Players and Market Status, 2026–2037
• Table 60. Applications of neuromorphic computing and sensing in medical imaging and diagnostics-advantages, limitations and likelihood of market penetration by application.
• Table 61. Applications of neuromorphic computing and sensing in Wearable health monitoring devices-advantages, limitations and likelihood of market penetration by application.
• Table 62. Applications of neuromorphic computing and sensing in Personalized medicine and drug discovery-advantages, limitations and likelihood of market penetration by application.
• Table 63. Applications of neuromorphic computing and sensing in Assistive technologies and prosthetics -advantages, limitations and likelihood of market penetration by application.
• Table 64. Global Neuromorphic Computing and Sensing Market Size and Forecast, in Healthcare and Medical Devices (2024-2037), millions USD.
• Table 65. Neuromorphic Computing and Sensing Applications in Aerospace and Defence: Use Cases, Players and Market Status, 2026–2037
• Table 66. Applications of neuromorphic computing and sensing in Unmanned Aerial Vehicles (UAVs) and drones-advantages, limitations and likelihood of market penetration by application.
• Table 67. Applications of neuromorphic computing and sensing in Satellite imaging and remote sensing:-advantages, limitations and likelihood of market penetration by application.
• Table 68. Applications of neuromorphic computing and sensing in Missile guidance and target recognition -advantages, limitations and likelihood of market penetration by application.
• Table 69. Applications of neuromorphic computing and sensing in Cybersecurity and threat detection -advantages, limitations and likelihood of market penetration by application.
• Table 70. Global Neuromorphic Computing and Sensing Market Size and Forecast, in Aerospace and Defence (2024-2037), millions USD.
• Table 71. Neuromorphic Computing and Sensing Applications in Data Centres and Cloud Computing: Use Cases, Players and Market Status, 2026–2037
• Table 72. Applications of neuromorphic computing and sensing in High-performance computing and scientific simulations-advantages, limitations and likelihood of market penetration by application.
• Table 73. Applications of neuromorphic computing and sensing in Big data analytics and machine learning-advantages, limitations and likelihood of market penetration by application.
• Table 74. Applications of neuromorphic computing and sensing in Cloud-based AI services and platforms -advantages, limitations and likelihood of market penetration by application.
• Table 75. Applications of neuromorphic computing and sensing in Energy-efficient datacenter infrastructure-advantages, limitations and likelihood of market penetration by application.
• Table 76. Global Neuromorphic Computing and Sensing Market Size and Forecast, in Datacenters and Cloud Services (2024-2037), millions USD.
• Table 77. Market revenues for neuromorphic computing and sensing by region from 2024-2037 in millions USD.
• Table 78. Neuromorphic Computing and Sensing Market Size and Forecast, in North America (2024-2037), millions USD.
• Table 79. Neuromorphic Computing and Sensing Market Size and Forecast, in Europe (2024-2037), millions USD.
• Table 80. Neuromorphic Computing and Sensing Market Size and Forecast, in Asia-Pacific (2024-2037), millions USD.
• Table 81. Neuromorphic Computing and Sensing Market Size and Forecast, in the Rest of the World (2024-2037), millions USD.
• Table 82. Neuromorphic Chip Manufacturers and Their Product Offerings.
• Table 83. Neuromorphic Sensor Manufacturers and Their Product Offerings.
• Table 84. Emerging Non-Volatile Memory (eNVM) Manufacturers and Their Product Offerings.
• Table 85. Neuromorphic Software and Framework Providers and Their Solutions.
• Table 86. Key Research Institutions and Academia in Neuromorphic Computing and Sensing.
• Table 87. Competing Emerging Technologies for Neuromorphic Computing and Sensing.
• Table 88. Technology Substitution Analysis.
• Table 89. Comparative Advantages/Disadvantages.
• Table 90. Companies profiled in this report.

List of Figures

• Figure 1. Global Market for Neuromorphic Computing and Sensors, 2024–2037 (Billions USD).
• Figure 2. Neuromorphic Computing and Sensing Technology Roadmap 2024–2037.
• Figure 3. Market value chain for neuromorphic computing and sensing.
• Figure 4. Neuromorphic Computing and Sensing Market Map 2026.
• Figure 5. Evolution of the Main Hardware Technologies for Neuromorphic Computing (2000–2036).
• Figure 6. Key materials in NVM technology for neuromorphic computing.
• Figure 7. Advanced Memristive Materials for Neuromorphic Computing - Technology Readiness Comparison (2026).
• Figure 8. Neural networks in autonomous vehicles.
• Figure 9. Concept illustration of centralized and decentralized intelligence in robotics.
• Figure 10. Neuromorphic programmable robot with dynamic vision developed by SynSense.
• Figure 11. Comparison of High-Level Conventional and Neuromorphic Memory Architectures.
• Figure 12. Spiking Neural Network (SNN) Structure and Operation.
• Figure 13. IBM TrueNorth Processor.
• Figure 14. Event-Based Sensor Operation and Data Processing Flow.
• Figure 15. Conventional sensor vs. Event-based sensor.
• Figure 16. Operation of neuromorphic vision sensors.
• Figure 17. Cyranose 320 Electronic Nose.
• Figure 18. Alpix-Pilatus platform, an integrated event-based vision sensor that combines static and dynamic information.
• Figure 19. Application Market Penetration Timeline
• Figure 20. Technology Roadmap for Neuromorphic Computing and Sensing in Mobile and Consumer Applications (2024–2036).
• Figure 21. Global Neuromorphic Computing and Sensing Market Size and Forecast, in Mobile and Consumer Applications (2024-2037), millions USD.
• Figure 22. Technology Roadmap for Neuromorphic Computing and Sensing in Automotive and Transportation (2024–2036).
• Figure 23. Sensors used by the ADAS (Advanced Driver-Assistance System).
• Figure 24. Enabling technologies for autonomous vehicles.
• Figure 25. Autonomous Vehicle Architecture with Neuromorphic Computing and Sensing.
• Figure 26. Global Neuromorphic Computing and Sensing Market Size and Forecast, in Automotive and Transportation (2024-2037), millions USD.
• Figure 27. Technology Roadmap for Neuromorphic Computing and Sensing in Industrial and Manufacturing (2024–2036).
• Figure 28. Global Neuromorphic Computing and Sensing Market Size and Forecast, in Industrial and Manufacturing (2024-2037), millions USD.
• Figure 29. Technology Roadmap for Neuromorphic Computing and Sensing in Healthcare and Medical Devices (2024–2036).
• Figure 30. Wearable Medical Devices with Neuromorphic Computing and Sensing Capabilities.
• Figure 31. Flexible neuromorphic electronics for neuromorphic computing, humanoid robotics, and neuroprosthetics.
• Figure 32. Global Neuromorphic Computing and Sensing Market Size and Forecast, in Healthcare and Medical Devices (2024-2037), millions USD.
• Figure 33. Technology Roadmap for Neuromorphic Computing and Sensing in Aerospace and Defence (2024–2036).
• Figure 34. Schematic route from bio-inspired behaviours toward neuromorphic sensors for autonomous flight.
• Figure 35. Global Neuromorphic Computing and Sensing Market Size and Forecast, in Aerospace and Defence (2024-2037), millions USD.
• Figure 36. Technology Roadmap for Neuromorphic Computing and Sensing in Datacenters and Cloud Services (2024–2036).
• Figure 37. Global Neuromorphic Computing and Sensing Market Size and Forecast, in Datacenters and Cloud Services (2024-2037), millions USD.
• Figure 38. Global Neuromorphic Computing and Sensing Market Size and Forecast, in North America (2024-2037), millions USD.
• Figure 39. Global Neuromorphic Computing and Sensing Market Size and Forecast, in Europe (2024-2037), millions USD.
• Figure 40. Global Neuromorphic Computing and Sensing Market Size and Forecast, Asia-Pacific (2024-2037), millions USD.
• Figure 41. Global Neuromorphic Computing and Sensing Market Size and Forecast, in in the Rest of the World (2024-2037), millions USD.
• Figure 42. Neuromorphic Computing and Sensing Ecosystem Overview.
• Figure 43. Cerebras WSE-2.
• Figure 44. DEEPX NPU DX-GEN1.
• Figure 45. Google TPU.
• Figure 46. GrAI VIP.
• Figure 47. Groq Tensor Streaming Processor (TSP).
• Figure 48. DVL-5000 neuromorphic laser profiler.
• Figure 49. Spiking Neural Processor
• Figure 50. TROOPER robot.
• Figure 51. 11th Gen Intel® Core™ S-Series.
• Figure 52. Intel Loihi 2 chip.
• Figure 53. Envise.
• Figure 54. Pentonic 2000.
• Figure 55. Azure Maia 100 and Cobalt 100 chips.
• Figure 56. Mythic MP10304 Quad-AMP PCIe Card.
• Figure 57. Nvidia H200 AI chip.
• Figure 58. Grace Hopper Superchip.
• Figure 59. Prophesee Metavision starter kit – AMD Kria KV260 and active marker LED board.
• Figure 60. Cloud AI 100.
• Figure 61. Overview of SpiNNaker2 architecture for the ”SpiNNcloud” cloud system and edge systems.
• Figure 62. Untether AI chip.