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Industrial Partners, Sponsors and Professional Networks

On behalf of the organizing committee and partners, INSTICC has a great pleasure in inviting you to attend the 1st International Conference on Deep Learning Theory and Applications , to be held on 08-10 July, 2020 in Lieusaint - Paris, which is integrated in a set of related events that will gather more than 600 delegates.

We aim at an extensive and exciting program, to be centered around the theme Deep Learning and Big Data Analytics are two major topics of data science, nowadays. Big Data has become important in practice, as many organizations have been collecting massive amounts of data that can contain useful information for business analysis and decisions, impacting existing and future technology. A key benefit of Deep Learning is the ability to process these data and extract high-level complex abstractions as data representations, making it a valuable tool for Big Data Analytics where raw data is largely unlabeled. Machine-learning and artificial intelligence are pervasive in most real-world applications scenarios such as computer vision, information retrieval and summarization from structured and unstructured multimodal data sources, natural language understanding and translation, and many other application domains. Deep learning approaches, leveraging on big data, are outperforming state-of-the-art more “classical” supervised and unsupervised approaches, directly learning relevant features and data representations without requiring explicit domain knowledge or human feature engineering. These approaches are currently highly important in IoT applications.

DeLTA 2020 will bring together engineers, computer scientists and world renowned experts and researchers, providing a privileged forum for showcasing your organization to an audience that is highly focused on your field of work. INSTICC offers a set of opportunities designed to support your marketing objectives, including an exhibition and demonstration area, speaker slots, and publishing materials as advertising packs.






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