Hackers can use 9 of the most popular AI tools to assemble massive botnets

In the brief history of AI security, the prompt injection has quickly become the top threat. Large language models are ...
Frontiers

Next-gen neuro-AI: Aligning foundation models and biologically plausible architectures with human cognition

Cognitive computational neuroscience has entered a transformative era. The rapid rise of large multimodal foundation models, state-space architectures, and ...
Scientific Research Publishing

Shi, B., Bai, X. and Yao, C. (2017) An End-To-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition. IEEE Transactions ...

ABSTRACT: The context of inclusive education for blind people lacks suitable learning materials and traditional devices are difficult to expand, creating a need for a personalized technological ...
Frontiers

Spiking neural networks for EEG signal analysis using wavelet transform

Brain-computer interfaces (BCIs) leverage EEG signal processing to enable human-machine communication and have broad application potential. However, existing deep learning-based BCI methods face two ...
pv magazine International

PV module fault diagnosis uses convolutional neural network

Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...