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UC San Diego researchers give computers 'common sense'

Researchers use Google Sets to provide contextual information that improves the accuracy of automated image labeling systems. The system uses a three-step process, including image segmentation, ranked lists of probable labels, and post-processing context checks.

The newest AI computing tool: people

Researchers at USC Information Sciences Institute have found a new source of artificial intelligence computing power in people's collective tagging activities on the social web. By extracting metadata from these interactions, they can improve information classification, reliability, and meaning.

New research in Psychological Science

Researchers found that adults exhibit a 'curse-of-knowledge bias' when reasoning about false beliefs, with their own knowledge influencing their ability to reason. Additionally, age affects false memory development, with children showing improved performance at older ages. The study also discovered a circadian rhythm in central process...

Monkey math machinery is like humans'

Researchers found that monkeys demonstrate a significant semantic congruity effect when making numerical comparisons, similar to humans. The study used colored cues to instruct monkeys to choose larger or smaller numbers, showing high accuracy and speed in the task.

Apple iPhone 17 Pro

Apple iPhone 17 Pro delivers top performance and advanced cameras for field documentation, data collection, and secure research communications.

Our emotional brains: Both sides process the language of feelings...

Studies show that the left hemisphere processes meaningful semantic content automatically, while the right hemisphere is involved in processing emotional prosody. Researchers used Transcranial Doppler Ultrasonography to measure blood flow velocity in the brain's middle cerebral arteries when participants identified emotions conveyed th...

Where do spoken words come from?

Researchers at the Max Planck Institute developed a theory to explain lexical selection and form encoding in spoken word production. The theory proposes two major processing components: lexical selection and form encoding, which can be completed within two-thirds of a second.