About Skala
Skala is a comprehensive platform designed to help founders and entrepreneurs incorporate and manage companies globally, with an emphasis on tech sectors like AI, crypto, SaaS, and game development. It provides support for US and offshore company formation, including C-Corps, LLCs, and Public Benefit Corporations, as well as tools for managing existing companies, handling legal documents, and accessing AI-powered legal assistants. Skala also offers templates for common legal agreements and facilitates services such as accounting, banking, payroll, and IP management, making it a one-stop solution for scaling startups and digital businesses worldwide.
Latest News about Skala
Microsoft kommer att utöka AMD:s Helios rackskaliga AI-plattform i skala på Azure
AMDs Helios rackskaliga plattform med MI455X GPU:er och EPYC Venice landar på Azure i takt med att Microsoft expanderar virtuella maskiner och Pensando DPU:er.
Label-free imaging for quality control of cardiomyocyte differentiation
Human pluripotent stem cell (hPSC)-derived cardiomyocytes provide a promising regenerative cell therapy for cardiovascular patients and an important model system to accelerate drug discovery. However, cost-effective and time-efficient platforms must be developed to evaluate the quality of hPSC-derived cardiomyocytes during biomanufacturing. Here, we develop a non-invasive label-free live cell imaging platform to predict the efficiency of hPSC differentiation into cardiomyocytes. Autofluorescence imaging of metabolic co-enzymes is performed under varying differentiation conditions (cell density, concentration of Wnt signaling activator) across five hPSC lines. Live cell autofluorescence imaging and multivariate classification models provide high accuracy to separate low (< 50%) and high (≥ 50%) differentiation efficiency groups (quantified by cTnT expression on day 12) within 1 day after initiating differentiation (area under the receiver operating characteristic curve, 0.91). This non-invasive and label-free method could be used to avoid batch-to-batch and line-to-line variability in cell manufacturing from hPSCs. Differentiation of hPSCs to cardiomyocytes suffers from high variability. Here the authors report a label-free live cell imaging platform based on autofluorescence imaging to enable the prediction of cardiomyocyte differentiation efficiency from hPSCs.
SK AX Expands Employment-Linked AI Training Program 'SKALA' - The Asia Business Daily
On May 7, SK AX announced that it will expand its employment-linked artificial intelligence (AI) training program, SKALA, beyond the Seoul metropolita
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