Some early experimentation suggests that these new ideas might replace the transformer as a fundamental neural network design ...

DeepSeek put its algorithm to the test by comparing it with three other open-source LLMs: the previous-generation DeepSeek-V2 ...

Abstract: In this paper, our idea is to propose a general steganographic framework for neural network models, embedding secret data during the network training process to obtain a stego network for ...

Chinese AI lab has released DeepSeek V3 which it said has outperformed leading open-source models and closed AI models like ...

CNN-based COPD diagnosis and staging using single-phase CT has accuracy comparable to inspiratory-expiratory CT with clinical ...

Bio-inspired wind sensing using strain sensors on flexible wings could revolutionize robotic flight control strategy.

In 1978, Geoffrey E. Hinton‘s PhD thesis on how the human visual system interprets visual stimuli laid foundational ideas for ...

Researchers will often train deep neural networks on large data sets, such as articles and books, to help build a deep learning model that can recognize patterns and use them to predict future ...

Scientists have developed a groundbreaking method to uncover how deep neural networks “think,” finally shedding light on ...

To train with default parameters on the tinyshakespeare corpus, run python train.py. To access all the parameters use python train.py --help.

As we progress into 2025, Artificial Intelligence (AI) continues to reshape industries and revolutionize how we interact with ...

Bio-inspired wind sensing using strain sensors on flexible wings could revolutionize robotic flight control strategy.