Scientists have developed a new kind of laser-based artificial neuron that mimics a biological nerve cell. This artificial ...

Recurrent Neural Networks (RNN): A special type of neural network, RNN is a complex network that uses the output of a node ...

The origins of modern AI can be traced back to psychology in the mid-20th century. In 1949, psychologist Donald Hebb proposed ...

While enterprise AI adoption obviously comes with challenges, NVIDIA is taking an end-to-end full stack approach to ...

The AI Conundrum is aimed squarely at non-technical management who want to better understand the risk and rewards of AI in ...

The singularity and transcendence of AI could imply a radical redefinition of the relationship between humans and technology ...

Researchers developed an automated system to help programmers increase the efficiency of their deep learning algorithms by simultaneously leveraging two types of redundancy in complex data structures: ...

The Artificial Neural Network market was USD 248M in 2023 and is expected to reach USD 1256M by 2032, growing at a 19.79% CAGR from 2024 to 2032.

Advancements could enhance perceptual capabilities in robotics. Artificially engineered biological processes, such as ...

Rats perceive the world with a complexity that modern artificial neural networks struggle to match. This is the finding of a recent study published in the journal Patterns by the Visual Neuroscience ...