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, ...

For how powerful today’s “smart” devices are, they’re not that good at working smarter rather than working harder. With AI constantly connected to the cloud and the chip constantly processing tasks ...

As prominent artificial intelligence (AI) researchers eye limits to the current phase of the technology, a different approach ...

New research shows that advances in technology could help make future supercomputers far more energy efficient. Neuromorphic computers are modeled after the structure of the human brain, and researche ...

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 ...

Forbes contributors publish independent expert analyses and insights. I write about the big picture of artificial intelligence. We stand at the cusp of a massive technology paradigm shift that ...

At every CES I’ve ever been to, there’s been one or two gadgets promising to boost your mental health. In recent years, the ...

Brain-computer interfaces are typically unwieldy, which makes using them on the move a non-starter. A new neural interface small enough to be attached between the user’s hair follicles keeps working ...

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Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...