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Mutiny ai series tiger global insight9/26/2023 The startup is promising multiple benefits for customers. According to the startup, its approach can help software teams perform testing tasks that sometimes take months in a few hours. The platform can run hundreds of tests to explore different scenarios in which an AI may malfunction, Robust Intelligence says. The first tool in the startup’s platform enables developers to check their neural networks for flaws before rolling them out to production. Robust Intelligence’s platform promises to improve AI accuracy by providing developers with two software tools they can use to fix neural network reliability issues. Researchers have demonstrated that hackers can in some cases use a technique known as adversarial machine learning to fool a neural network into producing erroneous results. The structure of the data that a neural network is tasked with analyzing sometimes changes over time, which has the potential to reduce accuracy.ĪI errors can also be caused by hacking attempts. In other cases, the cause of an error might be the data that an AI model processes. ![]() An accuracy issue may be the result of a software design flaw in an AI model. The Robust Intelligence Model Engine helps developers prevent AI malfunctions and, in case an error does occur, the software assists with troubleshooting.Ī neural network can malfunction, that is produce erroneous results, for a variety of reasons. As enterprises apply AI to more parts of their operations, including mission-critical processes, it’s becoming more important to ensure that neural networks operate reliably. ![]() The challenge Robust Intelligence is addressing with its platform is that, like traditional applications, neural networks can malfunction. It’s used by enterprises such as PayPal Inc. The startup’s flagship product, the Robust Intelligence Model Engine, is a software platform that companies can deploy in the cloud or on-premises. San Francisco-based Robust Intelligence is led by Chief Executive Officer Yaron Singer, a computer science and applied mathematics professor at Harvard University. Sequoia, Harpoon Venture Capital and Engineering Capital participated as well. today disclosed that it has raised $30 million in funding to enhance its namesake software platform, which promises to help companies find and fix issues in their neural networks faster. In Q1’21, the real estate tech space raised a total of $2.8B in funding.Robust Intelligence Inc. Technological advancements have transformed the real estate market, leading to increased investments and funding in this space.The global real estate software market is projected to grow at a CAGR of 5.7% and reach a value of $20.6B, as per Industry Arc.Side’s operating markets include California, Texas, and Florida.The company supports over 1,800 partner agents that include Trust Real Estate, Unvarnished, and Upside Real Estate.Side’s current annual production volume stands at more than $15B, representing a 200% year-over-year growth in sales. ![]()
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