A new workshop report titled “Artificial Intelligence with Open and Scaled Data Sharing in Semiconductor Manufacturing” was ...
Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been ...
To identify and evaluate candidate materials, process engineers must analyze an enormous amount of data. Bulk properties like ...
A new algorithmic framework that can predict flooding could help save lives and reduce the devastation as climate change drives more intense and unpredictable rainfall.
Research shows how artificial intelligence is revolutionizing plastics manufacturing through material development and process ...
Pranav Prabhakar is an engineering leader with expertise in building scalable systems, deploying machine learning in ...
The company is saying that Amazon S3 Vectors makes S3 a “more cost-effective and scalable” solution for AI and machine ...
AI-assisted signal debugging has broad impact across many domains.
SerpApi provides real-time structured access to public search engine results. Founded in 2017 by Julien Khaleghy, the company ...
To overcome two challenges in training AI – scarce or hard-to-get data and data privacy – researchers have come up with a counterintuitive technique: fake it.
Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...
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