Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and IoT through spiking neural networks and next-gen processors. Pixabay, ...

QUT robotics researchers have developed a new robot navigation system that mimics neural processes of the human brain and uses less than 10 per cent of the energy required by traditional systems. In a ...

Today, two researchers from the National University of Singapore (NUS), who are members of the Intel Neuromorphic Research Community (INRC), presented new findings demonstrating the promise of ...

Our latest and most advanced technologies — from AI to Industrial IoT, advanced robotics, and self-driving cars — share serious problems: massive energy consumption, limited on-edge capabilities, ...

As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...

Human skin transmits sensory information as electrical pulses, or spikes, that encode signals related to pressure and pain. NRE-skin mimics this biological process by converting pressure ...

Robots are increasingly becoming a part of our lives – from warehouse automation to robotic vacuum cleaners. And just like humans, robots need to know where they are to reliably navigate from A to B.

In a world increasingly driven by technological advancements, the lines between human sensation and robotic capability are blurring. Enter neuromorphic e-skin, an extraordinary leap forward in ...

Michael Milford receives funding from the Australian Research Council, the Australian Economic Accelerator, the Queensland Government, Amazon, Ford Motor Company, iMOVE CRC, the DAAD Australia-Germany ...