By mimicking the brain’s neurons and synapses, neuromorphic computing is enabling smarter, energy-efficient AI systems. A ...

The rapid advancement of artificial intelligence (AI) and machine learning systems has increased the demand for new hardware components that could speed up data analysis while consuming less power. As ...

Over the past decades, engineers have introduced a wide range of computing systems inspired by the human brain or designed to ...

Neuromorphic computing is bringing brain-like efficiency to AI, enabling ultra-low-power, real-time intelligence in everyday devices. I spoke to the CEO of Innatera about it.

Innatera will also join the India–Netherlands Roundtable at SEMICON India, opened by H.E. Marisa Gerards, Honorable Ambassador of the Kingdom of the Netherlands, and senior Government of India ...

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 policy document outlines China’s plan to create an internationally competitive BCI industry within five years, and proposes developing devices for both health and consumer uses.

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 ...

Sensor data is like brain food for robots, and as robots become more complex and sophisticated in their ability to take in ...

Brain sensors offer high-fidelity signals, allowing your brain to communicate directly with devices like computers, augmented reality (AR) glasses, or robotic limbs. This is part of what’s known ...