IDG. Figure 1. A two-input neuron in a neural network. This model has a wide range of variability, but we’ll use this exact configuration for the demo.

Implantable bioelectronics are vital to neuroscience, neurological therapies, and brain-machine interfaces. They serve as ...

A new study reveals that inhibitory neurons born later in development mature more quickly than earlier ones, allowing them to ...

Neural networks are the foundation of modern machine learning and AI. They are the most essential component in understanding what AI is and how it works.

The initial research papers date back to 2018, but for most, the notion of liquid networks (or liquid neural networks) is a new one. It was “Liquid Time-constant Networks,” published at the ...

The simplified approach makes it easier to see how neural networks produce the outputs they do. A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher ...

As we got more familiar with the literature on this type of neuron, however, we noticed that the existing ... To develop their framework, they employed artificial neural networks (ANNs) trained via ...

In the cerebral cortex, numerous neurons exchange information through junctions known as synapses. The strength of each ...

New research highlights how astrocytes, long considered mere support cells, actively shape brain network dynamics.

Inspired by microscopic worms, Liquid AI’s founders developed a more adaptive, less energy-hungry kind of neural network. Now the MIT spin-off is revealing several new ultraefficient models.