Soft measurement based on data-driven models is widely used to predict key variables in process industry due to low cost and real-time capability. However, these models struggle with noisy datasets ...
Due to the explosive growth of artificial intelligence, it is estimated that data centers will consume up to 12% of total U.S ...
Researchers have developed a feature selection-based solar irradiance forecasting method to improve the operation of stand-alone photovoltaic systems. The approach uses a bidirectional long short-term ...
Esri, the global leader in geographic information system (GIS) software, has released Spatial Data Science, a new book thatdemonstrates how spatial scientists and practitioners can add big data into ...
Patients with myelodysplastic syndromes (MDS) exhibit diverse disease trajectories necessitating different clinical approaches ranging from watch-and-wait strategies to hematopoietic stem cell ...
At AACR 2026, researchers discussed the promise and challenges of bringing AI-powered tools into cancer research and clinical ...
The future of conflict prediction relies on combining technical ability, institutional governance and ethical responsibility.
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