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.

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

Neuromorphic computing could completely transform everything about the technology industry from programming languages to hardware.

Efforts to build brain-inspired computer hardware have been underway for decades, but the field has yet to have its breakout moment. Now, leading researchers say the time is ripe to start building ...

Brain-based computing could help tech companies overcome the current constraints of chip design.

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

Researchers develop transistor that simultaneously processes and stores information like the human brain. Transistor goes beyond categorization tasks to perform associative learning. Transistor ...

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 ...

However, the field of neuromorphic computing has largely focused on processing data from individual senses separately. This unisensory approach stems in part from the lack of miniaturized hardware ...

Considering these criteria, researchers from Tokyo University of Science (TUS) led by Associate Professor Takashi Ikuno have developed a flexible paper-based sensor that operates like the human brain.

A patient with ALS, who lost use of his hands, has become the first person in the world to control an iPad entirely by thought.

A new computer chip mimics the wiring and architecture of the brain and can perform complex tasks while consuming very little energy.