Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
Translational medicine turns underspecified development goals into evidence synthesis that must comb...
Domain generalization requires identifying stable representations that support reliable classificati...
Power-of-two (PoT) quantization significantly reduces the size of deep neural networks (DNNs) and re...
End-to-end autonomous driving models generate future trajectories from multi-view inputs, improving ...
Standard cross-entropy is the default classification loss across virtually all of machine learning, ...
Cocoa (Theobroma cacao) is a critical cash crop for millions of smallholder farmers in West Africa, ...
High-resolution image-to-video (I2V) generation aims to synthesize realistic temporal dynamics while...
Artificial intelligence (AI) is becoming a clinical tool for prostate pathology, but generalization ...
Autoregressive image modeling relies on visual tokenizers to compress images into compact latent rep...
Single-point supervised infrared small target detection (IRSTD) drastically reduces dense annotation...
The bottleneck in learning-based industrial defect detection is often limited not by model capacity,...
Deploying tiny object perception on edge platforms is challenging because practical systems must sat...
Federated fine-tuning provides a practical route to adapt large language models (LLMs) on edge devic...
Unified multimodal models typically rely on pretrained vision encoders and use separate visual repre...
Ultra-High-Resolution (UHR) imagery has become essential for modern remote sensing, offering unprece...
Normalizing Flows (NFs) are a classical family of likelihood-based methods that have received revive...
Vision-Language Models(VLMs) excel at autoregressive text generation, yet end-to-end autonomous driv...
Grounded Multimodal Named Entity Recognition (GMNER) aims to jointly identify named entity mentions ...
Quantitative analysis of animal behavior is fundamental to neuroscience and ethology but remains con...
DNA-based storage has emerged as a promising approach to the global data crisis, offering molecular-...
Proteins are fundamental macromolecules involved in virtually all biological processes. Their physio...