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.
- 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.
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.
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.