By modeling the single-trial electroencephalogram of participants performing perceptual decisions, and building on predictions from two century-old psychological laws, we estimate the times of ...
Robots are starting to gain something that looks a lot like a sense of touch, and in some cases even a crude version of pain.
The moment before making a mark is where memory and imagination merge, forming the emotional source of the artist’s visual ...
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 ...
At the ongoing VSLive! developer conference in San Diego, Microsoft today announced Visual Studio 2026 Insiders, a new release of its flagship IDE that pairs deep AI integration with stronger ...
A critical function performed by visual systems is the fast and reliable detection of features within the environment, such as moving objects or approaching threats. Neurons predicted to encode these ...
The main focus of existing Multimodal Large Language Models (MLLMs) is on individual image interpretation, which restricts their ability to tackle tasks involving many images. These challenges demand ...
A technique can plan a trajectory for a robot using only language-based inputs. While it can't outperform vision-based approaches, it could be useful in settings that lack visual data to use for ...
Abstract: Automatic visual encoding is frequently employed in automatic visualization tools to automatically map data to visual elements. This paper proposed an automatic visual encoding approach ...