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 ...

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, ...

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

Hierarchical Reasoning Models (HRM) tackle complex reasoning tasks while being smaller, faster, and more data-efficient than large AI models.

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

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

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 ...

Retailers need networks capable of supporting expanded technology as consumers increasingly demand personalized shopping experiences.