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 ...
Patients with myelodysplastic syndromes (MDS) exhibit diverse disease trajectories necessitating different clinical approaches ranging from watch-and-wait strategies to hematopoietic stem cell ...
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 ...
At AACR 2026, researchers discussed the promise and challenges of bringing AI-powered tools into cancer research and clinical ...
Use of AlphaFold 2 to predict stabilizing mutations for the R337H variant in the tetramerization domain of TP53. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract ...
Researchers at the Korea Advanced Institute of Science and Technology have developed a brain-inspired warmup training method that helps AI models better align their confidence with prediction accuracy ...
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MIT tool speeds AI data center energy predictions
MIT and MIT-IBM Watson AI Lab researchers have developed EnergAIzer, a tool that predicts the energy use of AI workloads on GPUs in seconds, aiming to improve data center efficiency. The method could ...
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