US researchers solve partial differential equations with neuromorphic hardware, taking us closer to world's first ...

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.

Sandia National Labs today released an update on its neuromorphic computing research, reporting that these systems, inspired ...

Neuromorphic computing, inspired by the brain, integrates memory and processing to drastically reduce power consumption compared to traditional CPUs and GPUs, making AI at the network edge more ...

A new technical paper titled “Solving sparse finite element problems on neuromorphic hardware” was published by researchers ...

Analysts project the global neuromorphic computing market to skyrocket – from roughly $7.5 billion in 2024 to nearly $59 billion by 2033. This explosive forecast set the stage for an unexpected ...

Brain-inspired computing promises cheaper, faster, more energy efficient processing, according to experts at a Beijing conference, who discussed everything from reverse engineering insect brains to ...

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 ...

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 ...

Western Sydney University is set to get a new supercomputer by April 2024. The DeepSouth high-performance computing (HPC) cluster is being provided by the International Centre for Neuromorphic Systems ...

Forbes contributors publish independent expert analyses and insights. Global Thought Leader in Cybersecurity and Emerging Tech Examining the mesh between humans and machines provides insight into the ...