Einstein.ai Website Review

Flagship de*p learning research and engineering for the world’s smartest CRM. Celebrating the Inaugural Salesforce Research De*p Learning Grant Winners This summer, Salesforce Research announced our inaugural de*p learning research grant for university researchers and faculty, non-profit organizations, and NGOs. We are proud to announce the five winners that we will be working with as we shape the future of AI. Each winner While it has not yet been proven, empirical evidence suggests that model generalization is related to local properties of the optima which can be described via the Hessian. We connect model generalization with the local property of a solution under the PAC-Bayes paradigm. In particular, we prove that model ge. De*p learning has significantly improved state-of-the-art performance for natural language processing tasks like machine translation, summarization, question answering, and text clas*ification. Each of these tasks is typically studied with a specific metric, and We annually publish and present our findings at top NLP and computer vision conferences. Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher · arXiv Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, Richard Socher · arXiv Xi Victoria Lin, Richard Socher, Caiming Xiong · EMNLP 2018 We distill our state-of-the-art research papers down to their simplest components. So whether you’re a busy executive or an aspiring AI researcher, you’ll find our blog posts articulate, efficent, and easy to understand. Einstein's de*p learning APIs enable you to build AI-powered apps using Einstein Language and Einstein Vision. Collaborate on breakthrough open source artificial intelligence technology. We research, design, and develop state-of-the-art AI algorithms for the world’s #1 CRM. Join our star team and let’s shape the future We use cookies to make interactions with our websites and services easy and meaningful, to better understand how they are used and to