Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

Once a model is deployed, its internal structure is effectively frozen. Any real learning happens elsewhere: through retraining cycles, fine-tuning jobs or external memory systems layered on top. The ...

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

New performance gains will not come from bigger models, but from better approaches. That shift should matter to every ...

Researchers from King Abdullah University of Science and Technology (KAUST) have developed deepBlastoid, the first deep-learning platform specifically designed for the high-throughput, automated ...

Talking to oneself is a trait which feels inherently human. Our inner monologs help us organize our thoughts, make decisions, ...

With this update, 1X Technologies' NEO leverages internet-scale video data fine-tuned on robot data to perform AI tasks.

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...