Neuromorphic computing, inspired by the neural architectures and functions of biological brains, is revolutionizing the development of highly efficient, adaptive computing systems. In robotics, this ...

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 ...

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 ...

"That's what led to this idea." US student makes stunning breakthrough that could solve major problem with AI: ...

Editor’s note: “Brain-Inspired AI Is Coming Faster Than You Think” was previously published in July 2025 with the title, “Beyond GPUs: Why Neuromorphic Chips Could Power the Future of AI.” It has ...

It’s estimated it can take an AI model over 6,000 joules of energy to generate a single text response. By comparison, your brain needs just 20 joules every second to keep you alive and cognitive. That ...

The NeuRRAM chip is not only twice as energy efficient as state-of-the-art, it's also versatile and delivers results that are just as accurate as conventional digital chips. Neuromorphic computing—a ...

Artificial intelligence continues to expand its reach across various industries, introducing new methods to interpret data, streamline processes, and create novel opportunities for growth. In retail, ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now While much of the tech world remains ...

A new robot navigation system mimics neural processes of the human brain and uses less than 10 per cent of the energy required by traditional systems. (Nanowerk News) QUT robotics researchers have ...