imec Unveils Second-Generation Neuromorphic AI Chip as Data Movement Drives Energy Costs
Updated
Updated · IO+ · Jun 28
imec Unveils Second-Generation Neuromorphic AI Chip as Data Movement Drives Energy Costs
2 articles · Updated · IO+ · Jun 28
Summary
A second-generation neuromorphic AI chip from imec has returned from the fab and is now being measured, marking the latest step in its push for lower-power edge computing.
The redesign targets a core bottleneck: energy wasted moving data between memory and processors as conventional chip scaling delivers fewer gains.
Unlike imec’s earlier, highly efficient but narrow-purpose chips, the new version uses a heterogeneous architecture that mixes flexible AI blocks with hardwired, energy-efficient functions.
That approach also reflects a shift from pure in-memory concepts toward near-memory computing, where imec sees a better balance between efficiency, scalability and reuse across applications.
The project underscores a broader industry pivot toward hardware-software co-design as wearables, robots, smart cameras and autonomous systems need real-time AI within tight power limits.
Will energy-efficient AI chips sacrifice the flexibility needed to solve tomorrow’s unforeseen problems?
Beyond bees, what other biological systems could unlock the next leap in energy-efficient AI chip design?
With AI hardware shifting from raw speed to efficiency, who will be the next market leader after GPUs?
Achieving 1000x AI Efficiency: Imec’s Second-Generation Neuromorphic Chip and Europe’s Push for Sustainable, Real-Time Edge AI
Overview
Imec has spent years developing neuromorphic computing hardware inspired by how biological neural systems work. Their second-generation neuromorphic AI chip, unveiled in 2026, is the result of a comprehensive, full-stack research approach. This chip is designed to tackle the major energy efficiency challenges found in conventional AI systems by mimicking the brain’s natural efficiency. By focusing on reducing data movement—a key source of energy consumption in traditional computing—Imec’s chip aims to overcome critical bottlenecks and deliver highly efficient AI hardware solutions for the future.