Intel Labs Improves Interactive, Continual Learning for Robots?with Neuromorphic Computing
September 1, 2022 | IntelEstimated reading time: 1 minute
Intel Labs, in collaboration with the Italian Institute of Technology and the Technical University of Munich, has introduced a new approach to neural network-based object learning. It specifically targets future applications like robotic assistants that interact with unconstrained environments, including in logistics, healthcare or elderly care. This research is a crucial step in improving the capabilities of future assistive or manufacturing robots. It uses neuromorphic computing through new interactive online object learning methods to enable robots to learn new objects after deployment.
Using these new models, Intel and its collaborators successfully demonstrated continual interactive learning on Intel’s neuromorphic research chip, Loihi, measuring up to 175x lower energy to learn a new object instance with similar or better speed and accuracy compared to conventional methods running on a central processing unit (CPU). To accomplish this, researchers implemented a spiking neural network architecture on Loihi that localized learning to a single layer of plastic synapses and accounted for different object views by recruiting new neurons on demand. This enabled the learning process to unfold autonomously while interacting with the user.
The research was published in the paper “Interactive continual learning for robots: a neuromorphic approach,” which was named “Best Paper” at this year’s International Conference on Neuromorphic Systems (ICONS) hosted by Oak Ridge National Laboratory.???
“When a human learns a new object, they take a look, turn it around, ask what it is, and then they’re able to recognize it again in all kinds of settings and conditions instantaneously,” said Yulia Sandamirskaya, robotics research lead in Intel’s neuromorphic computing lab and senior author of the paper. “Our goal is to apply similar capabilities to future robots that work in interactive settings, enabling them to adapt to the unforeseen and work more naturally alongside humans. Our results with Loihi reinforce the value of neuromorphic computing for the future of robotics.”
Suggested Items
Chinese Smartphone Market Maintains its Recovery Momentum at 6.5% Growth in 1Q24,
04/26/2024 | IDCAccording to preliminary data from the International Data Corporation (IDC) Worldwide Quarterly Mobile Phone Tracker, China smartphone shipments grew 6.5% year over year (YoY) to 69.3 million units in 1Q24.
Boeing Opens Research & Technology Center in Japan
04/23/2024 | BoeingBoeing today opened a Boeing Research & Technology (BR&T) Center in Japan that will focus on innovation to enable the commercial aviation industry meet its goal of net zero carbon emissions by 2050.
Gartner Forecasts Worldwide IT Spending to Grow 8% in 2024
04/17/2024 | Gartner, Inc.Worldwide IT spending is expected to total $5.06 trillion in 2024, an increase of 8% from 2023, according to the latest forecast by Gartner, Inc. This is an increase from the previous quarter’s forecast of 6.8% growth and puts worldwide IT spending on track to surpass $8 trillion well before the end of the decade.
Argonne, RIKEN Sign a Memorandum of Understanding in Support of AI for Science
04/16/2024 | BUSINESS WIRELeaders in high performance computing in the U.S. and Japan have signed a memorandum of understanding (MOU) establishing a cooperative relationship in support of artificial intelligence (AI) computing projects.
RAICo Fellowship to Widen Participation Within the Field of Robotics and Artificial Intelligence
04/12/2024 | RAICoWOMEN and those early in their academia career who are passionate about robotics and artificial intelligence are encouraged to apply for a RAICo Fellowship.