Physna is licensing API access to its Physical AI search and normalization engine for a cohort of AI labs, OEMs, ...
Abstract: We proposes a new normalization method, Sparse Group Normalization (SG-Norm), which aims to address the computational efficiency bottleneck faced by deep neural networks when processing ...
AI agents will change how SOCs work, but they won’t save a broken data foundation. If your telemetry is siloed, your schemas ...
InformData, a trusted leader in delivering verifiable people data for businesses, today announced the appointments of Danny O'Toole as Chief Product & Data Officer and Reddy Shivampet as Chief ...
Private CRE loan data has historically been fragmented and difficult to analyze at scale. By integrating this data directly ...
Abstract: To address the current problem that the speed of high-speed spinning bodies varies widely and it is difficult to achieve effective speed measurements throughout the entire flight, this ...
The research fills a gap in standardized guidance for lipidomics/metabolomics data analysis, focusing on transparency and reproducibility using R and Python. The approach offers modular, interoperable ...
ABSTRACT: Spatial transcriptomics is undergoing rapid advancements and iterations. It is a beneficial tool to significantly enhance our understanding of tissue organization and relationships between ...
In the race to develop artificial intelligence, tech giants are building data centers that guzzle up water. That has led to problems for people who live nearby. In the race to develop artificial ...
More than two-thirds of industrial enterprises experience unexpected equipment failures causing downtime at least once a month. For the average manufacturer, this results in losses of around $125,000 ...
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