Neural Concept aims to accelerate these timelines by integrating AI directly into CAD and physics-based simulation environments. With its software, teams can explore numerous design specifications ...

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

In a recent study published in the journal Nature, researchers developed spatial aging clocks using single-cell transcriptomics to explore cell-type-specific interactions and their impact on brain ...

An MIT spinoff co-founded by robotics luminary Daniela Rus aims to build general-purpose AI systems powered by a relatively new type of AI model called a liquid neural network. The spinoff, aptly ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

Finnegan’s Lynn Parker Dupree and Baker McKenzie’s Lothar Determann discuss a wave of new state laws regarding brainwaves tracked by wearable devices, or data derived from the activity of a person’s ...

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 ...

In a recent review published in the journal Current Biology, researchers examined the origins, mechanisms, and significance of interoception (the sensing and processing of internal bodily states) and ...