Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

"I love the message that it sends to children," Katy told USA TODAY. "Like it tells autistic children who might see ...

“The representation is gradually going to accumulate some noise. As a result, when you see an image or a sentence for a ...

Introduction Visual Hallucinations (VHs) (seeing things that others do not, or visions) are a common feature of psychosis, causing significant distress and disability. Services rarely ask about these ...

Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...

Clips showcasing incredible artistic talent and technique. Investigators seize luxury goods over alleged fraud US carries out 'massive' strike against IS in Syria Bucking tradition: Why some New York ...

Abstract: Visual reinforcement learning (VRL) aims to learn optimal policies directly from pixel data, which holds significant potential for applications in control systems characterized by data ...

Summary: A new brain decoding method called mind captioning can generate accurate text descriptions of what a person is seeing or recalling—without relying on the brain’s language system. Instead, it ...

Summary: Researchers discovered how the brain develops reliable visual processing once the eyes open. Early on, visual inputs and modular brain responses are mismatched, creating inconsistent patterns ...

Here’s an analysis of the letter bearing Donald Trump’s name that was included in a 50th birthday book for Jeffrey Epstein. The Wall Street Journal in July reported on the 2003 birthday book and ...

A static visual representation. Examples include paintings, drawings, graphic designs, plans and maps. Recommended best practice is to assign the type Text to images of textual materials. Columbia ...