CNS-3D Plasticity Organoids, enabling human functional endpoints of learning and memory before drug candidates enter clinical ...

Fusionex Hub, in the pursuit of smarter, more trustworthy artificial intelligence, neuro-symbolic AI has emerged as a promising paradigm that combines the best of two worlds: the learning power of ...

Gilead Sciences uses graph neural networks and graph databases to reveal hidden fraud networks and ensure patient's safety.

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

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 tail end ...

Computing power has increased exponentially over the past few decades. We now have cameras on smartphones with incredible computational photography, voice assistants that respond near instantaneously, ...

Computational neuroscientists taught an artificial neural network to imitate a biological neuron. The result offers a new way to think about the complexity of single brain cells. Our mushy brains seem ...