Tag: Transformer

A new deep learning framework called Epiformer combines the Evo 2 genome language model with a dual-channel network to detect ...

Researchers in Beijing have built a 0.27-megabyte transformer model that detects multi-stage APT attacks in industrial IoT telemetry with high ...

A transformer-based machine learning model can detect and even predict diffuse cerebral edema in cardiac arrest survivors from routine EEG ...

Researchers have developed a personalized N-of-1 transformer framework that learns an individual's daily behavior patterns from smart home activity logs ...

Researchers used a deep learning model to compress 38 senescence-linked blood proteins into a single SASP Score that predicts mortality, ...

A new parallel deep learning framework combining CNN and Transformer branches with thermodynamic regularization improves the prediction of mutation-induced protein ...

Researchers in China have developed a Multimodal Transformer Attention model that jointly extracts and fuses video, audio and text features ...

Researchers have developed ADLM-TiM, a hybrid deep learning and Transformer model that detects advanced persistent threats in highly imbalanced network ...

Researchers have built a federated deep learning system that predicts sepsis across simulated hospitals with 93.6 percent accuracy while keeping ...

Researchers in China have developed a dual-path deep learning network that keeps multimodal sentiment analysis accurate even when text, audio ...