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  1. 4 days ago · UNCAGED Innovations, founded in 2020 by CEO Stephanie Downs and CTO Dr. Xiaokun Wang, is revolutionizing the leather industry by creating sustainable leather from grains at scale.

  2. 4 days ago · Founded in 2020 by CEO Stephanie Downs and Xiaokun Wang, the New York-based startup claims to be the first to have developed leather made from grains. It does so by deploying its tech platform, BioFuze, with roll-to-roll manufacturing techniques.

  3. 4 days ago · An emerging next-gen leather company, Uncaged Innovations, was founded in New York in 2020 by CEO Stephanie Downs and CTO Dr. Xiaokun Wang. Through the company’s technology platform, BioFuze, Uncaged has developed a process that integrates structural proteins derived from grains into fibrous networks, creating a new material that replicates the feel and functionality of conventional leather.

  4. 5 days ago · Biomaterials company UNCAGED Innovations announced that it has raised $5.6 million in a Seed investment round, with proceeds aimed at supporting the company’s commercial launch of its grain-based sustainable leather and allow it to expand its team, including its manufacturing team. Founded in New York in 2020 by CEO Stephanie Downs and CTO Dr. Xiaokun […]

  5. 5 days ago · CTO Dr. Xiaokun Wang added: “Combining our BioFuze technology with roll-to-roll manufacturing allows us to produce high-quality, sustainable leather alternatives at scale. We’re excited to expand our team and production capabilities.”

  6. 3 days ago · Wang, Xiaokun (Cara) Associate Professor of Civil and Environmental Engineering; Ph.D. (University of Texas at Austin). Wang, Xiang Assistant Professor of Chemistry and Chemical Biology; Ph.D. (New York University). Wang, Xun Lecturer, Department of Biomedical Engineering; Ph.D. (University of Manchester, UK).

  7. 4 days ago · Model reuse techniques can reduce the resource requirements for training high-performance deep neural networks (DNNs) by leveraging existing models. However, unauthorized reuse and replication of DNNs can lead to copyright infringement and economic loss to the model owner. This underscores the need to analyze the reuse relation between DNNs and develop copyright protection techniques to safeguard intellectual property rights. Existing white-box testing-based approaches cannot address the ...