InfoQ

Meta's Noninvasive Brain–Computer Interface Brain2Qwerty Achieves 61% Accuracy

Meta recently open-sourced Brain2Qwerty v2, a noninvasive Brain–Computer Interface (BCI) that can decode sentences from ...
IEEE

Edge-Enhanced Encoder-Decoder Framework for ALS Detection in Abdominal LCTIs with Deep Liver Localization

Abstract: The proposed Edge-Strengthening Parallel UNet (ESP-UNet) is a high-end encoder-decoder deep learning model capable of Automatically Segmenting the Liver (ALS) in LCTIs (Abdominal Liver CT ...
IEEE

An Effective Approach to Class-Wise Unlearning in Pre-trained Encoders for Contrastive Learning

Abstract: Image encoder pre-training has experienced a substantial evolution due to contrastive learning, facilitating the extraction of intricate feature representations from unlabeled datasets.