New open-source Python-based software boosts space-weather modeling

University of Birmingham experts have created open-source computer software that helps scientists understand how fast-moving ...

OpenAI starts offering a biology-tuned LLM

On Thursday, OpenAI announced it had developed a large language model specifically trained on common biology workflows.

3 Canadian stocks I loaded up on for long-term wealth

If you are seeking businesses with durable demand, smart management, room to grow, and enough financial strength to handle a rough patch, these three Canadian stocks are also tied to trends that could ...
The New York Times

A.I. Is Writing Fiction. Publishers Are Unprepared.

Book publishing has few safeguards in place to prevent the unwitting publication of a novel heavily generated by artificial intelligence. By Alexandra Alter For months, speculation has been building ...
IEEE

MTSNet: Convolution-Based Transformer Network With Multi-Scale Temporal-Spectral Feature Fusion for SSVEP Signal Decoding

Abstract: Improving the decoding performance of steady-state visual evoked (SSVEP) signals is crucial for the practical application of SSVEP-based brain-computer interface (BCI) systems. Although ...
Scientific Research Publishing

Wen, T. and Zhang, Z. (2018) Deep Convolution Neural Network and Autoencoders-Based Unsupervised Feature Learning of EEG Signals. IEEE Access, 6, 25399-25410.

ABSTRACT: The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in ...
eeworldonline

How to use convolution to implement filters: part 4

A windowed sinc function can implement a low-pass filter, and a two-dimensional convolutional filter can blur or sharpen images. In part 3 of this series, we introduced a low-pass filter based on the ...