Scopri come l’Intelligenza Artificiale sta trasformando il mondo: dalle reti neurali ai modelli predittivi, il futuro dell’innovazione è qui.
Scopri come synbrAIn ha affrontato il tema degli LLM nello sviluppo software durante il seminario all'Università di Enna Kore. Opportunità, rischi e prospettive future dei Large Language Models nel coding professionale.
Generare soluzioni di digital twin volte a migliorare l'efficienza energetica in contesti industriali ad alto consumo energetico.
A Multi-View Ensemble classifier which considers domain knowledge during classification, a critical feature for fake news detection.
To evaluate the diagnostic performance of an Artificial Intelligence (AI) algorithm, previously trained using both adult and pediatric patients, for the detection of acute appendicular fractures in the pediatric population on conventional X-ray radiography (CXR).
Most real-world systems are characterised by dynamics and correlations emerging at multiple time scales, and are therefore referred to as complex systems. In this work, the complexity of time series produced by complex systems was investigated in the frame of information theory computing the entropy rate via the conditional entropy (CE) measure.
Considering the large number of patients with pulmonary symptoms admitted to the emergency department daily, it is essential to diagnose them correctly.
Parkinson’s disease (PD) is a neurodegenerative disorder that produces both motor and non-motor complications, degrading the quality of life of PD patients. Over the past two decades, the use of wearable devices in combination with machine learning algorithms has provided promising methods for more objective and continuous monitoring of PD.
SenticLab è nella Top 5 nella competizione KiTS 2023, avendo sviluppato un algoritmo per la segmentazione di immagini dei reni, per identificare cisti e tumori.
Using additional training data is known to improve the results, especially for medical image 3D segmentation where there is a lack of training material and the model needs to generalize well from few available data.
Oral capillaroscopy is a critical and non-invasive technique used to evaluate microcirculation. Its ability to observe small vessels in vivo has generated significant interest in the field. Capillaroscopy serves as an essential tool for diagnosing and prognosing various pathologies, with anatomic–pathological lesions playing a crucial role in their progression.
