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Neuromorphic Computing | Beyond Today’s AI

Intel Labs’ neuromorphic research goes beyond today’s deep-learning algorithms by co-designing optimized hardware with next-generation AI software. Built with the help of a growing community, this pioneering research effort seeks to accelerate the future of adaptive AI.

Loihi 2:  A New Generation of Neuromorphic Computing

Intel Labs’ second-generation neuromorphic research chip, codenamed Loihi 2, and Lava, an open-source software framework, will drive innovation and adoption of neuromorphic computing solutions.

Enhancements include:

  • Up to 10x faster processing capability1
  • Up to 60x more inter-chip bandwidth2
  • Up to 1 million neurons with 15x greater resource density3
  • 3D Scalable with native Ethernet support
  • A new, open-source software framework called Lava
  • Fully programmable neuron models with graded spikes
  • Enhanced learning and adaptation capabilities

For more information on how Loihi 2 and Lava are taking neuromorphic computing to the next level, read the full technical brief. 

View tech brief

Neuromorphic Computing Research

Intel Labs is leading research efforts to help realize neuromorphic computing’s goal of enabling next-generation intelligent devices and autonomous systems. Guided by the principles of biological neural computation, neuromorphic computing uses new algorithmic approaches that emulate how the human brain interacts with the world to deliver capabilities closer to human cognition.

Spiking neural networks (SNNs), novel models that simulate natural learning by dynamically re-mapping neural networks, are used in neuromorphic computing to make decisions in response to learned patterns over time. Neuromorphic processors leverage these asynchronous, event-based SNNs to achieve orders of magnitude gains in power and performance over conventional architectures. 

Neuromorphic computing’s innovative architectural approach will power future autonomous AI solutions that require energy efficiency and continuous learning. It promises to open exciting new possibilities in computing and is already in use in a variety of areas including, sensing, robotics, healthcare, and large-scale AI applications.

Intel and Accenture Support Neuromorphic Research Project to Assist Wheelchair-Bound Pediatric Patients

Intel and Accenture announced they are supporting an Intel Neuromorphic Research Community (INRC) project led by the Neuro-Biomorphic Engineering Lab at the Open University of Israel in collaboration with ALYN Hospital.

Learn more

Singapore Researchers Look to Intel Neuromorphic Computing to Help Enable Robots That “Feel”

This novel robotic system developed by National University of Singapore researchers comprises an artificial brain system that mimics biological neural networks—which can be run on a power-efficient neuromorphic processor such as Intel’s Loihi chip—and is integrated with artificial skin and vision sensors. 

Learn more

How a Computer Chip Can Smell without a Nose

Intel Labs’ Nabil Imam and a research team from Cornell University build mathematical algorithms on computer chips that mimic what happens in your brain’s neural network when you smell something. 

Learn more

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Achieving a Giant Leap in Performance

Rich Uhlig, Intel Senior Fellow and Director of Intel Labs, and Mike Davies, Director of Intel’s Neuromorphic Computing Lab, provide an in-depth overview of neuromorphic computing and exciting quantitative benchmarking results in their presentation from Intel Labs Day.

Watch this video session to learn more about how neuromorphic computing will help fuel the next generation of artificial intelligence.

Collaborating to Advance Neuromorphic Computing

Intel Labs has established the Intel Neuromorphic Research Community (INRC), a global collaborative research effort that brings together teams from academic, government, and industry organizations to overcome the wide-ranging challenges in the field of neuromorphic computing.

Together with an ecosystem of leading researchers, Intel is working to progress this technology from research prototypes to industry-leading products over the coming years. Membership is free and open to all qualified groups.

Learn more

Additional Resources

Neuromorphic Computing Press Kit

Keep up with the latest news updates, watch presentations and download images about Intel Labs’ neuromorphic computing research.

Learn more

Intel and Sandia National Labs Collaborate on Neuromorphic Computing

Intel Federal LLC announced a three-year agreement with Sandia National Laboratories (Sandia) to explore the value of neuromorphic computing for scaled-up computational problems.

Learn more

Brains Behind the Brains

Mike Davies, Director of Neuromorphic Computing at Intel Labs, talks about how neuromorphic computing and Intel’s Loihi processors will change our world in wonderful ways.

Watch the video

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Product and Performance Information

1Based on comparisons between barrier synchronization time, synaptic update time, neuron update time, and neuron spike times between Loihi 1 and 2. Loihi 1 parameters measured from silicon characterization; Loihi 2 parameters measured from both silicon characterization with the N3B1 revision and pre-silicon circuit simulations. The Lava performance model for both chips is based on silicon characterization in September 2021 using the Nx SDK release 1.0.0 with an Intel Xeon E5-2699 v3 CPU (2.30 GHz, 32 GB RAM) as the host running Ubuntu version 20.04.2. Loihi results use Nahuku-32 system ncl-ghrd-04. Loihi 2 results use Oheo Gulch system ncl-og-04. Results may vary.
260x effective bandwidth increase comes from a 4x increase in chip-to-chip signaling speeds (800 Mtransfers/s measured from Loihi 2 circuit simulations versus 185 Mtransfers/s measured on Loihi silicon), an increase to 6 inter-chip links from 4, and >10x reduction in inter-chip bandwidth utilization from Loihi 2’s new destination spike multicast feature as characterized by 3-chip and 7-chip Locally Competitive Algorithm workload examples.
3Based on the Loihi 2 core size of 0.21 mm2 supporting up to 8192 neurons compared to the Loihi core size of 0.41 mm2 supporting up to 1024 neurons.
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