A research team led by the University of Aberdeen has developed a pioneering AI model to improve accuracy and reduce ...

Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to ...

Open-source clones of ChatGPT can be fine-tuned at scale and with limited or no expertise, facilitating ‘private' language ...

By looking at an AI model's internal representations — the numbers that dictate how an AI model responds, which often seem ...

used imaging data from the Human Connectome Project to align neural activity with its underlying circuitry. Mapping how the brain's anatomical connections and activity patterns relate to behavior ...

The abovementioned question however is under-explored and doesn’t gain much success. To bridge this gap, in a new paper SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs, a ...

Specifically, we use a graph neural network to capture collaborative pattern on the student-exercise bipartite ... In addition, we utilize a dual autoencoder module to encode students and exercises to ...

The model they developed, presented in a paper pre-published on arXiv, is based on the use of a neural autoencoder, a brain-inspired architecture that can discover specific patterns in data and create ...