{"id":28357,"date":"2025-01-31T11:35:25","date_gmt":"2025-01-31T10:35:25","guid":{"rendered":"https:\/\/opentalk.iit.it\/?p=28357"},"modified":"2025-02-05T17:04:20","modified_gmt":"2025-02-05T16:04:20","slug":"in-a-nature-article-an-international-research-team-charts-the-course-for-scalable-neuromorphic-computing-systems","status":"publish","type":"post","link":"https:\/\/opentalk.iit.it\/en\/in-a-nature-article-an-international-research-team-charts-the-course-for-scalable-neuromorphic-computing-systems\/","title":{"rendered":"In a Nature article, an international research team charts the course for scalable neuromorphic computing systems"},"content":{"rendered":"

Chiara Bartolozzi from the Istituto Italiano di Tecnologia is among the contributing authors<\/strong><\/h4>\n

<\/p>\n

A review \u00a0article about the future of neuromorphic computing by a team of 23 researchers, including Chiara Bartolozzi from Istituto Italiano di Tecnologia (IIT) was published last week \u00a0in Nature. The article, titled \u201cNeuromorphic Computing at Scale<\/a>,\u201d examines the state of neuromorphic technology and presents a strategy for building large-scale neuromorphic systems.<\/p>\n

Chiara Bartolozzi is Principal Investigator of Event-Driven Perception for Robotics Lab at IIT in Genova whose aim is to apply the\u00a0“neuromorphic”<\/a>\u00a0engineering approach to the design of robotic platforms as\u00a0enabling technology towards the design of autonomous machines.<\/p>\n

The review paper is part of a broader effort to advance neuromorphic computing, a field that applies principles of neuroscience to computing systems to mimic the brain\u2019s function and structure. Neuromorphic chips have the potential to outpace traditional computers in energy and space efficiency as well as performance, presenting substantial advantages across various domains, including artificial intelligence, health care and robotics. As the electricity consumption of AI is projected to double by 2026<\/a>, neuromorphic computing emerges as a promising solution.<\/p>\n

\u201cThe paper highlights the opportunities of using neuromorphic computing at scale as a complementary approach to AI, that can offer opportunities in power efficiency, robustness and adaptability, by using inspiration from the brain both at the level of principles of computation and at the level of the hardware that supports such computation<\/em>\u201d, explains Bartolozzi<\/strong>.<\/p>\n

Bartolozzi and her team at IIT are focusing on inducing a paradigm shift in robotics by introducing neuromorphic design, and more specifically in the emerging concept of Event-Driven (ED) sensing and processing. Similarly to their biological counterpart, and differently from traditional robotic sensors, ED sensory systems sample their input signal at fixed (and relative) amplitude changes, intrinsically adapting to the dynamics of the sensory signal: temporal resolution is extremely high for fast transitory signals and decreases for slower inputs.<\/p>\n

Neuromorphic computing is at a pivotal moment, said Dhireesha Kudithipudi, the Robert F. McDermott Endowed Chair at the University of Texas San Antonio and the paper\u2019s corresponding author. \u201cWe are now at a point where there is a tremendous opportunity to build new architectures and open frameworks that can be deployed in commercial applications<\/em>,\u201d she said. \u201cI strongly believe that fostering tight collaboration between industry and academia is the key to shaping the future of this field. This collaboration is reflected in our team of co-authors.<\/em>\u201d<\/p>\n

\u201cThis collaborative paper shows the community effort in sharing ideas and creating opensource tools and code for interoperability between different neuromorphic platforms, sensors and actuators in robots<\/em>\u201d, added Bartolozzi. \u201cThese tools are key to creating hybrid systems where different modules perform sensing, perception, computation and decision making.<\/em>\u201d<\/p>\n

Bartolozzi\u2019s group at IIT is developing opensource tools for the integration of neuromorphic computation and platforms in robotics, ranging from software libraries to FPGA-based libraries for AER communication. Moreover, they have introduced neuromorphic tactile sensors, that expand the range of available event-driven sensory modalities, and computational models for real-time robotic applications that support the deployment of neuromorphic intelligence in interaction tasks, where the intelligence can develop through the interaction of the body with the environment.<\/p>\n

Chiara Bartolozzi has been active in the scientific community of neuromorphic intelligence for many years, also contributing to international workshops: the \u201cCapocaccia workshop\u201d where the community is nurtured and grown, creating synergies with the neuroscience community and with other disciplines (the next edition will be held in Sardina at the end of April); the \u201cTelluride workshop\u201d as an active participant, and the first Asian workshop in Bangalore, where she was invited as a clear example of the connection among the American, European and Asian groups.<\/p>\n

Authors of the review paper are esteemed scientists from 17 institutions, national laboratories and industry partners.These include the University of Tennessee, Knoxville, Sandia National Laboratories, Rochester Institute of Technology, the University of Pittsburgh, Intel Labs, Technische Universit\u00e4t Dresden, the U.S. Naval Research Laboratory, Google DeepMind, the Italian Institute of Technology, UC San Diego, the Institute of Neuroinformatics at the University of Z\u00fcrich and ETH Z\u00fcrich, the National Institute of Standards and Technology, Oak Ridge National Laboratory, SpiNNcloud Systems GmbH, the Indian Institute of Science, Royal Holloway, University of London, and The University of Manchester.<\/p>\n","protected":false},"excerpt":{"rendered":"

Chiara Bartolozzi from the Istituto Italiano di Tecnologia is among the contributing authors<\/p>\n","protected":false},"author":5,"featured_media":28358,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4552,5080,4556],"tags":[7788,7786,7789,7787],"class_list":["post-28357","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-en-news","category-press-release-en","category-en-robotics","tag-chiara_bartolozzi-en","tag-chiara_bartolozzi_iit","tag-event_driven_perception_for_robotics-en","tag-event_driven_perception_for_robotics_iit"],"yoast_head":"\nIn a Nature article, an international research team charts the course for scalable neuromorphic computing systems - Talk iit<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/opentalk.iit.it\/en\/in-a-nature-article-an-international-research-team-charts-the-course-for-scalable-neuromorphic-computing-systems\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"In a Nature article, an international research team charts the course for scalable neuromorphic computing systems - 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