As the research participants thought about future scenarios, optimists displayed similar neural patterns, but pessimists ...

For the first time, large language models performed on a par with gold medallists in the International Mathematical Olympiad.

Recurrent Neural Network in Deep Learning. Recurrent Neural Network in Deep Learning is a model that is used for Natural Language Processing tasks. It can be used to create applications like chat-bot, ...

Yet that, more or less, is what is happening with the tech world’s pursuit of artificial general intelligence ( AGI ), ...

The study was published in Brain Sciences , a peer-reviewed journal from MDPI, a leading academic publisher known for advancing rigorous scientific research across disciplines. This marks the third ...

Researchers at the National University of Defense Technology and Shanghai Jiao Tong University introduce a symmetry-aware neural network architecture that slashes multi-agent reinforcement learning ...

Differential equations have demonstrated intrinsic connections to network structures, linking discrete network layers through continuous equations. Most existing approaches focus on the interaction ...

Moreover, due to the absence of authentic fused images, traditional mathematically defined loss functions face challenges in accurately modeling the characteristics of fused images. To address these ...