Large language models (LLMs) deliver impressive results, but are they truly capable of reaching or surpassing human ...
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 ...
How does the brain manage to catch the drift of a mumbled sentence or a flat, robotic voice? A new study led by researchers ...
Large language models (LLMs) deliver impressive results, but are they truly capable of reaching or surpassing human ...
Tech Xplore on MSN
Shrinking AI memory boosts accuracy, study finds
Researchers have developed a new way to compress the memory used by AI models to increase their accuracy in complex tasks or help save significant amounts of energy.
Tech Xplore on MSN
How brain-inspired algorithms could drive down AI energy costs
In a study published in Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology ...
Our thoughts are specified by our knowledge and plans, yet our cognition can also be fast and flexible in handling new ...
Effective communication lies at the heart of human connection. It helps us collaborate with each other, solve problems and ...
We tend to break things down into smaller components to make remembering easier. Event Segmentation Theory explains how we do ...
The Brighterside of News on MSN
New memory structure helps AI models think longer and faster without using more power
Researchers from the University of Edinburgh and NVIDIA have introduced a new method that helps large language models reason ...
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