The limits of conventional bathing water monitoring are becoming harder to ignore.Many of these sites sit close to treated ...
In an era where scientific accuracy and reproducibility are paramount, the global antibody specificity testing market is ...
Comparison of Deep-Learning Models for Classification of Cellular Phenotype From Flow Cytometry Data
Abstract: This study compares the relative utility of deep learning models as automated phenotypic classifiers, built with features of peripheral blood cell populations assayed with flow cytometry. We ...
Abstract: Dual three-phase (DTP) electric machines are increasingly favored in industrial applications and automotive electric drive systems. Different machine types are used in different scenarios ...
This is the official repository of paper Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching. We propose Distilled Decoding (DD) to distill a pre-trained image ...
Artificial intelligence-supported cell imaging could help laboratories to set defensible quality thresholds for living products, according to Dr Jeanne Rivera of the National Measurement ...
Thinking Machines Lab, the AI lab co-founded by former OpenAI Chief Technology Officer Mira Murati, is planning to release its own in-house models next year, co-founder and Chief Scientist John ...
Thinking Machines Lab Inc. today launched its Tinker artificial intelligence fine-tuning service into general availability. San Francisco-based Thinking Machines was founded in February by Mira Murati ...
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