Large language models (LLMs) deliver impressive results, but are they truly capable of reaching or surpassing human ...
The next great transformation may be the rise of networked minds, the merging of human and machine intelligence into distributed systems of shared cognition.
Researchers tested this similarity by examining the brain activity recordings of both humans and AI while listening to a ...
The human brain processes spoken language in a step-by-step sequence that closely matches how large language models transform text.
When the human mind drifts away from a specific task, it may actually improve the ability to absorb hidden patterns in the environment. A new study suggests that this mental wandering facilitates a ...
Occam’s razor is the principle that, all else being equal, simpler explanations should be preferred over more complex ones. This principle is thought to guide human decision-making, but the nature of ...
DSM diagnoses can be useful. But they can also pathologize normal emotions, and the line between "healthy" and "disordered" ...
University of Nevada professor Michael Wilson explains three computational linguistics fields and the applications of those ...
Morning Overview on MSN
Your brain has a learning shortcut that AI still can’t copy
Human brains can turn a single messy experience into a lasting skill, while even the most advanced artificial intelligence ...
The competitive stakes have intensified as Google's Gemini 3 topped LMArena leaderboards and earned widespread praise for ...
Germany’s most important research funding prize is presented to ten researchers / Prize money of €2.5 million each / Award ceremony to be held in Berlin on 18 March ...
While LLMs have been the most visible use case for generative AI, it is a mistake to believe LLMs are the end state for generative AI when it's just the beginning.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results