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 ...

The AI-driven fund has seen higher annual returns across a 10-year period compared with an industry benchmark, per the firm.

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 ...

Tesla’s latest Full Self-Driving software is not just edging closer to autonomy, it is starting to convince seasoned AI ...

A recent publication in Nature Machine Intelligence really got me thinking. In this study, researchers created an artificial system that not only simulates but also behaves like our brain. This ...

How does the brain manage to catch the drift of a mumbled sentence or a flat, robotic voice? A new study led by researchers ...

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 ...

Apropos of almost nothing, the CEO of an AI startup suggested that a bad actor could use a mysterious image to “attack” human brains the way researchers have done with neural networks. This kerfuffle ...

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 ...