RAIC Labs
Md Minhazur Rahman is a Machine Learning Engineer at Synthetaic since February 2023, with a strong background in AI and machine learning. Previous experience includes a research internship at Brookhaven National Laboratory where significant improvements in data loss were achieved, and a role as a Graduate Assistant at the University of South Dakota, working on deep learning models for dark matter research. Md Minhazur has also interned as a Data Scientist at ITDeal BD, conducted freelance Java development, and contributed to software development at CoderBD. Educational qualifications include a Master of Science in Computer Science from the University of South Dakota and a Bachelor of Science in Physics from the University of Dhaka.
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RAIC Labs
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We've rebranded, Synthetaic is now RAIC Labs! Quickly derive insights from large, unlabeled geospatial, video, and image datasets without time-intensive human labeling or pre-built models. Rapid Automatic Image Categorization (RAIC) is an unbiased tool that meets users’ ever-changing analytic demands for their perpetually evolving datasets, in an unrivaled timeline. RAIC enables users to find and classify anything in minutes, not months, without labeled data. Simply provide a single example object image and RAIC will find similar objects in your unlabeled dataset and return contextually-related results. You can then improve the AI by identifying the best results through an intuitive human nudge tool. From there, you can run inference jobs and turn results into insights using dashboarding tools or existing analytics platforms.