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 ...

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

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 ...

Chinese researchers have created a new computing architecture that boosts processing performance by nearly ...

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, ...

The world’s most powerful supercomputers can now run simulations of billions of neurons, and researchers hope such models ...

USC researchers built artificial neurons that replicate real brain processes using ion-based diffusive memristors. These devices emulate how neurons use chemicals to transmit and process signals, ...

AI systems may not need vast amounts of training data to begin behaving more like the human brain, according to new research ...

Our thoughts are specified by our knowledge and plans, yet our cognition can also be fast and flexible in handling new information. How does the well-controlled and yet highly nimble nature of ...

When a molecule of tryptophan absorbs ultraviolet light, it glows faintly as it releases energy at a lower frequency. This effect, called fluorescence, is well known. But something extraordinary ...

Consciousness has long resisted neat explanations, but a growing body of research suggests the problem may lie in how we picture the brain’s information processing. Instead of behaving like a tidy ...

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 ...