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ニューロモーフィック・コンピューティング :技術「、チップセット、用途:脳に着目したコンピューティング技術の分析。AIの深層学習における限界、スパイキングニューラルネットワーク(SNN)とメモリスタなどの新しいニューロモーフィック技術とサプライヤの比較

Neuromorphic computing: Technology, chipsets, and applications

Technology analysis of computing technologies inspired by the brain. Covers the limits of deep learning approaches to AI, reviews new neuromorphic technologies like spiking neural networks and memristors, and compares suppliers

 

出版社 出版年月電子版価格 ページ数図表数
Omdia | Tractica
オムディア|トラクティカ
2020年9月US$6,750
部署ライセンス
14 3

サマリー

このレポートはニューロモーフィックコンピューティングを実現可能にする新しい技術について言及しています。今後5年で商用利用される技術の可能性と指数関数的成長を分析しています。

Report Details

As Moore’s law starts to reach its limits, neuromorphic computing is becoming a catalyst for future hardware developments. Neuromorphic computing mimics the human brain using spiking neural networks (SNNs) and memristors. It offers real-time, low power computing that enables users to realize the dream of self-learning, energy efficient devices. Emerging technologies like artificial intelligence (AI), Internet of Things (IoT), and edge devices demand a new hardware architecture that can scale and perform accelerated computation with small power consumption.

Although still in their infancy, neuromorphic chips have the potential to shape next-generation computing and communications solutions ranging from robotics to edge IoT. To be accepted as a mainstream chip technology might look like a distant possibility, but these chips have shown promise during experimental case studies. Only a few experimental kits are available on the market today, but steady progress is being made in neuromorphic research and commercial products are expected in two years.

This Omdia report covers the new technologies enabling neuromorphic computing. It analyzes the potential for exponential growth in the commercial use of neuromorphic technology within the next five years. The report also explores the significant impact of neuromorphic computing on various markets, particularly edge and IoT devices, and compares the key players developing neuromorphic technology.

Key Questions Addressed:

  • What is neuromorphic computing?
  • Why is neuromorphic computing interesting and relevant?
  • How does the technology work at the hardware level?
  • How mature is the technology?
  • Which companies are innovating in this field?

Who Needs This Report?

  • Semiconductor vendors
  • OEMs and ODMs
  • AI software developers
  • Investor community


目次

Table of Contents

Summary
Catalyst: Computing inspired by the brain
Omdia view
Key messages

Technology overview
How does a spiking neural network work?
Key issues

Market dynamics
Key suppliers
– BrainChip
– General Vision
– HRL Laboratories
– IBM
– Intel Labs
– Qualcomm
– SynSense (aiCTX)
Other neuromorphic technology startups

Key markets
Autonomous vehicles
Medical devices
Robotics and drones

Key recommendations
Recommendations for startups
Recommendations for OEMs
Recommendations for chipset suppliers

 

List of Charts, Figures, and Tables

Figures
  • Modeling of a human brain
  • AI edge chipset revenue by device category, world markets: 2019–25
Tables
  • Other neuromorphic technology startups

 

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