The integration of neuromorphic computing and deep learning is revolutionizing computational neuroscience, offering new methods for interpreting complex ...

Understanding Deep Learning. To understand deep learning and how it differs from machine learning, you need to understand ...

AI refers to any machine that is able to replicate human cognitive skills, such as problem solving. Over the second half of the 20th century, machine learning emerged as a powerful AI approach that ...

“Techniques with neural networks are working, and the cost in terms of power is pretty modest. So it makes sense to add deep learning subsystems. We’re seeing a lot of startups coming into the market.

Many breakthroughs in AI, including large language models like ChatGPT, Claude, and Gemini, were only possible because of ...

Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...

In this study, we demonstrate that a neural network can learn to perform phase recovery and holographic image reconstruction after appropriate training. This deep learning-based approach provides ...

Humans and certain animals appear to have an innate capacity to learn relationships between different objects or events in ...