Explore why current AI market hype may lead to overvalued stocks, lessons from past bubbles, and how selective caution can guide smarter investments today.

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

In conclusion, the study introduces Neural Metamorphosis (NeuMeta), a framework for creating self-morphable neural networks. Instead of designing separate models for different architectures or sizes, ...

A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher. Artificial neurons—the fundamental building blocks of deep neural networks—have survived almost ...

Learning from complex, multidimensional data has become central to computational mathematics, and among the most successful high-dimensional function approximators are deep neural networks (DNNs).

“Beyond weights: deep learning in spiking neural networks with pure synaptic-delay training,” in Proceedings of the 2023 International Conference on Neuromorphic Systems (New York, NY: Association for ...

The researchers found that a formula used in statistical analysis provides a streamlined mathematical description of how neural networks, such as GPT-2, a precursor to ChatGPT, learn relevant patterns ...