In a groundbreaking study from 1961, Albert Bandura demonstrated that we learn by watching what others do. New evidence links ...
Innovations such as Robotics, 3D printing, and other tech-based tools are being introduced to build decision-making, ...
Artificial intelligence (AI) is rapidly transforming how scientific research is conducted, from accelerating model development to uncovering novel drug discovery pathways. However, with every promise ...
Presentation of the best paper award at the RoboCup 2025 symposium.
A team of AI scientists and seismologists has developed a pioneering self-supervised framework, DASFormer, for high-resolution earthquake monitoring. Built on a two-stage, coarse-to-fine architecture, ...
Abstract: Semi-supervised learning (SSL) enables the accurate segmentation of medical images with limited available labeled data. However, its performance usually lags fully supervised methods that ...
Supervised Machine Learning Models for Predicting Sepsis-Associated Liver Injury in Patients With Sepsis: Development and Validation Study Based on a Multicenter Cohort Study ...
Abstract: Owing to the cost of collecting labeled sensor data, self-supervised learning (SSL) methods for human activity recognition (HAR) that effectively use unlabeled data for pretraining have ...
wget https://huggingface.co/sanaka87/BAGEL-RecA/blob/main/model_bf16.safetensors mv model_bf16.safetensors models/bagel/BAGEL-7B-MoT/ema.safetensors You can also ...
1 State Key Laboratory of Blockchain and Data Security, Zhejiang University 2 Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security This is the implementation of FSFM-3C, a self ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback