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.
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.
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.
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.
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.
Additional Resources
Neuromorphic Computing Press Kit
Keep up with the latest news updates, watch presentations and download images about Intel Labs’ neuromorphic computing research.
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.
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.