The authors of this paper propose a new phenomenological form of interpreting the data which is based on an analysis of the temperature dependence of ai(T). The interaction cross sections were measured at various temperatures in water [6] and benzene in the liquid state, in solid and liquid ...
Machine learning (ML) is known to be one of the chief tools used for extracting information from data and predict output with exceptional accuracy. However, this accuracy comes with a lack of explainability. This especially becomes a serious problem when it comes to analyzing and making diagnosis...
They are also tremendously data-rich modalities and as such are highly amenable to data-driven technologies such as AI. The first half of the article will focus on methods to improve PET reconstruction and image quality, which has multiple benefits including faster image acquisition, image ...
P Mason, CJ Edmonds - 1989 - link.springer.com Abstract This paper describes some work, sponsored by Admiralty Research Establishment (Portland), which forms part of a general programme to assess the value of Artificial Intelligence (AI) and related techniques to problems associated with the ...
TSDB: Time Series Database (TSDB), used to store massive data of time series (changes in the chronological order).Metric: Category of data indexes, such as engine temperature, engine speed, amount of simulation, etc.Field: Sub-categories of data under specified metrics. That is, one metric...
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AI has gradually grasped the intricate connections between dream elements and human psychology, emotions, and real life. It's like equipping it with an invisible dream interpretation encyclopedia, and as new data keeps being incorporated, the content of this encyclopedia continues to be enriched and...
2957 Pushing the Boundaries of View Extrapolation with Multiplane Images Pratul Srinivasan (UC Berkeley)*; Richard Tucker (Google); Jonathan T Barron (Google Research); Ravi Ramamoorthi (University of California San Diego); Ren Ng (UC Berkeley); Noah Snavely (Cornell University and Google AI) 3D...
or the integration of large-scale data (Cardoso et al.2015; Chakravorty and Hegde2018). Here, this review assesses the agreement of variant effect prediction methods with experimental and clinical data, summarizes their performance in objective blind challenges, and presents some of their successful ...
imply the study being prospective. In addition, we showed that the performance of the AI system remained robust across patients from different age groups and mammographic breast densities. Accuracy of our system also remained high when tested on an external data set40....