Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
AI2 has unveiled Bolmo, a byte-level model created by retrofitting its OLMo 3 model with <1% of the compute budget.
Ai2 releases Bolmo, a new byte-level language model the company hopes would encourage more enterprises to use byte level ...
Abstract: Auto-encoder has been widely used in video anomaly detection which aims to detect abnormal segments in video surveillance. However, the previous auto-encoder methods preferred to reconstruct ...
Based on the previous works, this Review found two increasing trends: (1) Transformers and graph neural networks are often integrated as encoders and then combined with multiple pre-training tasks to ...
Chinese AI startup Zhipu AI aka Z.ai has released its GLM-4.6V series, a new generation of open-source vision-language models (VLMs) optimized for multimodal reasoning, frontend automation, and ...
The developed model modified Schrödinger bridge-type diffusion models to add noise to real data through the encoder and reconstructed samples through the decoder. It uses two objective functions, the ...
ABSTRACT: In the field of equipment support, the method of generating equipment support sentence vectors based on word vectors is simple and effective, but it ignores the order and dependency ...
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