The app can support translation in over 100 languages and can work across other apps. Wispr Flow said it has done an ...
Abstract: Adaptive dictionary learning algorithms jointly optimize sparse representations and dictionary atoms to enhance performance. However, this alternating minimization process is complex, and ...
Figure 1. Relationship between artificial intelligence (AI), machine learning (ML), deep learning (DL), and data science and basic definitions. Figure 2. Representation of the Rosalind Franklin ...
Background: Lung cancer diagnosis requires cost-effective biomarkers. Mitochondrial non-coding RNAs (mtRNAs) represent unexplored diagnostic targets. Methods: We analyzed TCGA-LUAD/LUSC miRNA-seq data ...
Taking a sparse user-supplied MIP solution, fixing the corresponding variables, and solving the resulting MIP to optimality may be very expensive, and not worth the investment. Introduce a "light" ...
Abstract: Sparse coding or sparse dictionary learning has been widely used to recover underlying structure in many kinds of natural data. Here, we provide conditions guaranteeing when this recovery is ...
Theoretical and computational chemistry (TCC) is a set of theories and models that, over the years, were refined to the point that it is possible to determine measurable quantities with precision, ...
Anton Osika is the CEO of Lovable AI, a vibe coding platform that enables users to build apps from text prompts. Osika said in a new interview that traits like curiosity and adaptability are more ...
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