Rising to the Grand Challenges
ICNS research addresses three connected, critical problems: How can we (i) continue to enhance computing power beyond the end of Moore’s Law to (ii) process and analyse the exponentially growing amounts of data that support modern society while (iii) conserving energy? Learn more about these problems on our Research page.
We study and mimic biological systems and sensory organs to develop sensors, processors and algorithms that out-perform conventional digital solutions. By increasing computational power and efficiency, ICNS researchers will help to solve many of the Grand Challenges for engineering in the 21st century (opens in a new window) including: securing space infrastructure, enhancing health informatics, securing cyberspace, improving the utility of urban infrastructure, advancing personalised learning, enhancing virtual reality, and engineering the next generation of tools for scientific discovery.
We’re addressing the Grand Challenge to reverse engineer the brain (opens in a new window). Using architecture, processing, and coding inspired by brains and nervous systems and applying world-leading models of neural network function, we can create artificial elements of brains with processing power far greater than that of current computers, as well as developing solutions for neurological damage or disease. Our fast, low-energy, compact and robust neuromorphic systems are especially ideal for distributed computing, mobile devices and autonomous applications in challenging and remote environments.
Globally, governments and corporations are investing millions in neuromorphic R&D because they understand its huge potential for positive impact.
Discover more specific examples of the real-world impact of our research by clicking on the headings below.