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

A December 10–12 working group met to bring together researchers from two fields — neuromorphic computing and stochastic ...

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, ...

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

(Nanowerk Spotlight) Paper-based electronic devices have long been an intriguing prospect for researchers, offering potential advantages in sustainability, cost-effectiveness, and flexibility. However ...

• Overcoming CMOS Bottlenecks: As AI workloads surge, conventional architectures suffer from >100 pJ per MAC and millisecond latency due to sensor-memory-processor separation. MXene-Ti 3 C 2 T x ...

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

The rapid development of artificial intelligence (AI) poses challenges to today's computer technology. Conventional silicon processors are reaching their limits: they consume large amounts of energy, ...

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 ...

A human’s way of processing information can be used as a model to train next-generation artificial intelligence (AI) systems, according to research published Jan. 22 in Nature. Cory Merkel, an ...