Neuromorphic Computing and Engineering, Next Wave of AI Capabilities
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.
Advancing Neuromorphic Computing with Intel Labs Tools
Neuromorphic computing draws on neuroscience insights to tackle the challenges related to the sustainability of today’s energy-hungry AI. As part of Intel’s goal of bringing neuromorphic technology to commercial applications, Intel Labs provides tools for developers to advance the development process.
Hala Point: The World's Largest Neuromorphic System
Hala Point, the industry’s first 1.15 billion neuron neuromorphic system, builds a path toward more sustainable AI. Its numerous architectural improvements achieve over 10x more neuron capacity and up to 12x higher performance than the first-generation research system.
Loihi 2: A New Generation of Neuromorphic Computing
Loihi 2, Intel Lab's second-generation neuromorphic processor, outperforms its predecessor with up to 10x faster processing capability. It comes with Lava, an open-source software framework that supports multiple AI methods and hardware for developing neuro-inspired applications.
Kapoho Point: Advancing Neuromorphic Computing Application Development
With its compact design, Kapoho Point allows developers to scale to solve larger problems. This 8-chip Loihi 2 board can stack for large-scale workloads, enabling AI models with up to one billion parameters or solving optimization problems with up to eight million variables.
Intel Neuromorphic Research Community
Intel Labs has established the Intel Neuromorphic Research Community (INRC), a global collaborative research effort that brings together teams from academic groups, government labs, research institutions, and companies to overcome the wide-ranging challenges in the field of neuromorphic computing. Together with an ecosystem of leading researchers, Intel is working to pioneer the frontier of brain-inspired AI, progressing this technology from research prototypes to industry-leading products over the coming years. Membership is free and open to all qualified groups.
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. 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.
Loihi 2 neuromorphic processors focus on sparse event-driven computation that minimizes activity and data movement. The processors apply brain-inspired computing principles, such as asynchronous, event-based spiking neural networks (SNNs), integrated memory and computing, and sparse and continuously changing connections. Research using Loihi 2 processors has demonstrated orders of magnitude gains in the efficiency, speed, and adaptability of small-scale edge workloads.
Ericsson Research Demonstrates How Intel Labs’ Neuromorphic AI Accelerator Reduces Compute Costs
Using neuromorphic computing technology from Intel Labs, Ericsson Research is developing custom telecommunications AI models to optimize telecom architecture.
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.
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.
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.
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.