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Neuromorphic computing

Neuromorphic computing is starting to appear in sensor products. Innatera and Joya reported a Pulsar-based audio module in March, first shown classifying baby cries. A named module is better evidence than general efficiency claims. High-volume consumer shipments are still unproven, and so is any advantage in unrelated AI work.

low conviction concept

Research snapshot · updated Nov 12, 2026

State of the art (2026)

Neuromorphic remains a research field with a thin commercial edge. The flagship system, Intel's Hala Point (1.15 billion neurons across 1,152 Loihi 2 chips), runs at Sandia as a research platform, not a product, and Intel has shipped no official Loihi 3 silicon. IBM's NorthPole is likewise a research inference architecture. The real traction is at the edge: BrainChip, the only listed pure-play, raised $25m in December 2025 to scale Akida 2; Innatera began shipping its Pulsar SNN microcontroller into consumer wearables and smart-home devices in early 2026; SpiNNcloud is commercialising SpiNNaker 2. Patent filings surged in 2025, but spiking-network software tooling and a killer high-volume application are still missing.

Core thesis

Neuromorphic chips take ideas from the brain to cut the power needed for AI tasks. Many use spiking neural networks, which compute only when an event arrives. Some do not: IBM's NorthPole is brain-inspired but moved away from spiking, and on the ResNet-50 image test it processed 25 times more frames per watt than a comparable 12nm GPU. That result is for one benchmark. Software tools for spiking chips are far behind mainstream AI tools, and most current AI models do not map well onto spikes. The nearest commercial use is in always-on sensors and event-based cameras.

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Signal stack

Evidence stacked leading → lagging

6 signals
talent
research
patent
expert
market

Technology-native KPIs

Metrics that predict trajectory, tracked over time

5 tracked
Largest single neuromorphic system, neuron count
Energy efficiency vs GPU (NorthPole, ResNet-50)
Edge SNN MCU energy/latency advantage (Innatera Pulsar)
Event-based vision sensor market size
Public pure-play traction (BrainChip funding)

Landscape map

Who builds what, and who depends on whom

17 players · 4 layers

Catalyst calendar

Dated events that will move the position

6 ahead

Technology roadmap

Milestones on the path to maturity

9 milestones

Watchlists

Companies, people and papers, each with a condition for removing it

19 · 20
Companies · 19
People · 20

Decision frameworks

What our view means for your job

Locked
Public Equity
PE / VC
Corporate Leader

Thesis changelog

When our view changed, and why

9 updates

Change our mind

2 disconfirming conditions

You've read the verdict. The file is much deeper.

The full signal stack, technology-native KPIs tracked over time, the landscape of who depends on whom, the dated catalyst calendar, decision frameworks for every desk, live watchlists and a record of every time our view on Neuromorphic computing has changed. All of it is in CanaryIQ.