Examining the nature and origin of human intelligence and the intersection with machine intelligence in the past, present and ...

Researchers outline a bold strategy to scale neuromorphic computing, aiming to match human brain functionality with minimal ...

Our brains are remarkable machines, constantly absorbing, storing, and-most importantly-forgetting information. Forgetting ...

RIT engineering professor Cory Merkel was one of more than a dozen researchers in neuromorphic computing contributing ...

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

The integration of reinforcement learning from human feedback with passive brain-computer interface technology presents both ...

Full-blown AMAs represent the pinnacle of artificial moral agents, characterized by their autonomy, capacity for moral reasoning, and the ability to experience moral emotions such as compassion and ...

In this week's "It's Debatable," Rosen & Moster debate if laws should be enacted to prevent AI advancement to human level ...

(Nature 636, 22–25; 2024) describes three abilities that artificial-intelligence ... Fuchs Ecology of the Brain Oxford Univ. Press; 2018). Human intelligence is a biological accomplishment ...

Even after detailed feedback, it produced another confident, but equally wrong, answer. This reveals one of AI’s crucial ...

Magnetic resonance imaging (MRI) is one of the most effective technologies to assess the innermost structures of the human ...

Artificial General Intelligence (AGI) could outperform human traders in crypto markets, impacting price movements and trading strategies.