Tech Xplore on MSN
The cost of thinking: Reasoning models share aspects of information processing with human brains
Large language models (LLMs) like ChatGPT can write an essay or plan a menu almost instantly. But until recently, it was also ...
Researchers showed that large language models use a small, specialized subset of parameters to perform Theory-of-Mind reasoning, despite activating their full network for every task.
When someone tells you that AI is going to replace human intelligence, you can honestly tell them that, as of this writing, ...
You might think a honey bee foraging in your garden and a browser window running ChatGPT have nothing in common. But recent ...
Information Theory Meets Deep Neural Networks: Theory and Applications. The previous volume can be viewed here: Volume I Deep Neural Networks (DNNs) have become one of the most popular research ...
Are insects like honey bees conscious? How about AI systems like ChatGPT? Researchers have devised new ways to investigate.
The capacity to think in private has been fundamental to human development. As AI systems comprehensively capture children's cognitive processes, that privacy disappears.
Tech Xplore on MSN
Mind readers: How large language models encode theory-of-mind
Imagine you're watching a movie, in which a character puts a chocolate bar in a box, closes the box and leaves the room. Another person, also in the room, moves the bar from a box to a desk drawer.
A new study reveals that the capacity for social reasoning in large language models, a trait similar to the human “theory of ...
Human brains are superior to LLMs in energy efficiency, but the models can become better at using their networks ...
AZoCleantech on MSN
Study Identifies ‘Neural Loyalty’ as Key to Bridging Gap Between Sustainable Intentions and Consumer Action
Investigating sustainable consumer behavior, new research highlights emotional and cognitive drivers, with neural loyalty ...
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