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Vivek Sharma, CEO & Co-Founder of Movable Ink – Interview Series

Unite.AI

Vivek co-founded Movable Ink in 2010 and has led the company through rapid growth to a leading market position with 600+ employees serving the world's most innovative brands. Movable Ink personalizes every customer engagement through automation and artificial intelligence. Vivek graduated with a B.S.

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Meet FathomNet: An Open-Source Image Database That Uses Artificial Intelligence and Machine Learning Algorithms To Help Process The Backlog Of Visual Data For Understanding Our Ocean And Its Inhabitants

Marktechpost

One such outcome of this partnership is FathomNet, an open-source image database that employs cutting-edge data processing algorithms to standardize and aggregate carefully curated labeled data. Machine learning has historically transformed the field of automated visual analysis, partly thanks to vast volumes of annotated data.

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Itamar Friedman, CEO & Co-Founder of CodiumAI – Interview Series

Unite.AI

Codium focuses on the “code integrity” side of code generation — generating automated tests, code explanations, and reviews. Realizing that many of the tedious development processes in Mellanox could be automated by machine-learning algorithms, I changed my majors to optimization and machine learning and completed an MSc in the space.

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Mohan Giridharadas, Founder & CEO at LeanTaaS – Interview Series

Unite.AI

The LeanTaaS journey began in 2010 with an industry-agnostic approach. We created an algorithm designed to optimally match available supply with ongoing demand signals. Our solution worked, and we spent the next 18 months refining our algorithms and creating our first product, iQueue for Infusion Centers.

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Carolyn Harvey, Chief Operations Officer at LXT – Interview Series

Unite.AI

How has LXT's mission evolved since its inception in 2010? You have years of experience working in search and personalization to help improve these algorithms. LXT has built an internal annotation platform that automates many parts of the annotation process and provides structure and a consistent user interface for workers.

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NLP-Powered Data Extraction for SLRs and Meta-Analyses

Towards AI

It’s also an area that stands to benefit most from automated or semi-automated machine learning (ML) and natural language processing (NLP) techniques. It’s for these reasons that practically everyone involved has a vested interest in SLR automation. This study by Bui et al.

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Hippocratic is building a large language model for healthcare

Flipboard

After co-founder and CEO Munjal Shah sold his previous company, Like.com, a shopping comparison site, to Google in 2010, he spent the better part of the next decade building Hippocratic. ” AI in healthcare, historically, has been met with mixed success.