Browsing: NLP

The 2026 International Congress of Basic Science gathers global researchers to address fundamental constraints in generative AI and quantum information systems.

Stanford researchers demonstrate that computational linguistics can predict mental health trajectories by analyzing syntactic and semantic markers in youth speech.

Researchers utilize the Hicformer transformer model to link genome folding and transcriptomic shifts in Alzheimer’s disease, revealing a new regulatory layer of neurodegeneration.

The quick-service chain is deploying automated speech-to-intent systems to optimize throughput and operational consistency at scale.

The company’s newly patented platform utilizes machine learning and fragmentomic analysis to improve early cancer detection accuracy from blood samples.

The acquisition merges AnyClip’s semantic video analysis with Edge226’s performance infrastructure to advance automated, content-aware advertising models.

A KAIST research team provides quantitative evidence that large language models reproduce ageist stereotypes, highlighting the need for inclusive AI training frameworks.

Researchers developed a machine learning model to predict neonatal respiratory risks by analyzing longitudinal patient data instead of static clinical snapshots.

The startup aims to resolve clinical data fragmentation by unifying patient-authorized health records for pharmaceutical research.

Researchers develop a calibration method to improve uncertainty estimation in clinical AI models, addressing critical gaps in diagnostic safety.