Researchers are training neural networks to make decisions more like humans would. This science of human decision-making is only just being applied to machine learning, but developing a neural network ...

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 ...

Sometimes in the rush to explore our interactions with neural nets (often in the form of LLMs) we forget to think about our own operating system and how it works. Of course, scientists did spend a lot ...

Houston Methodist neuroscientists have developed a first-of-its-kind method to rapidly produce synchronized, human brain wave-like activity in lab-grown neural networks that can communicate over long ...

Reichman University Researchers Reveal How the Brain Dynamically Reconfigures Networks During Speech Processing Study published in NeuroImage demonstrates how the human brain flexibly reorganizes ...

Scientists hope to accelerate the development of human-level AI using a network of powerful supercomputers — with the first of these machines fully operational by 2025. When you purchase through links ...

Human-accelerated regions (HARs) are sections of the human genome that have accumulated an unusually high level of mutations as humans split away from chimpanzees. Given their rapid evolution, some ...

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 ...

In 1943, a pair of neuroscientists were trying to describe how the human nervous system works when they accidentally laid the foundation for artificial intelligence. In their mathematical framework ...