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What robots want: Using machine-learning to teach effectively

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AI is having a moment. One need only casually scan the news each week to see that the topics of artificial intelligence and machine learning have grown like ivy, extending their tendrils into stories as varied as racial bias, hiring, and of course, identifying spiders. But for all the diverse applications of AI across our inboxes, magazines and evening news, few outside of the engineering community have a robust understanding of what the terms actually mean, or how the robots and algorithms we increasingly rely upon come to know how to do the complex jobs humans assign to them. For starters, the machines involved in machine learning are increasingly more likely to take the form of a disembodied hivemind than a humanoid assistant. Nearly 60 years after Rosie the robotic maid first enchanted American prime time television viewers on The Jetsons, robotic minds and algorithms instead are in demand within nearly every sector of business. Filling these machine minds with context and experience requires teaching and training.


Hyun Kim, CEO and Co-Founder, Superb AI – Interview Series

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Huyn Kim is the CEO and Co-Founder of Superb AI, a company that provides a new generation machine learning data platform to AI teams so that they can build better AI in less time. The Superb AI Suite is an enterprise SaaS platform built to help ML engineers, product teams, researchers and data annotators create efficient training data workflows. What initially attracted you to the field of AI, Data Science and Robotics? As an undergraduate majoring in Biomedical Engineering at Duke, I was passionate about genetics and how we can engineer our DNA to cure diseases or create genetically engineered organisms. I remember one wet-lab experiment distinctly that kept failing for like 6 months straight. The most frustrating part of it was that there was a lot of repetitive manual work, and in hindsight that was probably the root of some many potential errors.


30 Under 30 Asia 2020: The Startups Leveraging AI And Machine Learning To Transform Businesses

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Hyunsoo Kim, a 29-year-old entrepreneur in South Korea, is on a mission to democratize artificial intelligence to enable more companies, both large and small, to utilize the emerging technology. So it's only fitting that Kim, cofounder of Superb AI, has been selected as the featured honoree for the Enterprise Technology category of this year's Forbes 30 Under 30 Asia list, leading a pack of several fellow honorees who founded startups based on AI. Since launching Superb AI in April 2018 with four cofounders, Kim has grown his startup to $2 million in revenues last year and 21 employees, fueled by increasing demand for AI. Profits are still in the future, but Superb AI also managed last year to join Y Combinator, a prominent Silicon Valley startup accelerator. So far, it has raised $2 million in funding from Y Combinator, Duke University and VC firms in Silicon Valley, Seoul and Dubai, giving it a valuation of $12 million as of March 2019.