Completed Computing & AI Arts, Culture & Design

DeepVid

In plain English

AI plain-English summary

Video and images now make up 85% of internet traffic, and today's compression technology—barely changed since the 1970s—cannot shrink file sizes fast enough to keep up. This matters because data generation and bandwidth demand are growing exponentially. Without a fundamental change in how media is compressed, the internet risks a bandwidth bottleneck collapse that could slow connections, raise costs, and deepen the digital divide between urban and rural areas. Deep Render has developed a compression technology that outperforms current methods. If commercialised, it could effectively multiply global bandwidth supply, removing the need to build larger physical infrastructure to meet data demand. That would reduce both the economic cost and environmental impact of expanding networks, and could help resolve long-standing debates around net neutrality by easing traffic congestion. The project now focuses on optimising and validating this already-proven technology for real-world use. Success would mean faster, more equitable internet access without requiring new cables or data centres—a quiet but critical upgrade to the infrastructure that keeps modern society running.

View original technical description
Media compression technologies have only incrementally evolved from the 70s and are struggling to make file sizes significantly smaller. Coupling this with exponential growth in data generation and bandwidth demand, and video/image comprising 85% of the internet traffic, media compression technology needs to be reinvented to solve the impending bandwidth bottleneck collapse. Deep Render's compression technology has been proven to perform 80% better than current technologies, multiplying global bandwidth supply x5. Such an improvement will provide fast internet access to urban and rural areas, removing the need to build larger infrastructures to keep with the data demand. Hence, reducing their economic and environmental impact and solving problems around bandwidth traffic jams (i.e. net neutrality debate). To commercialise such a disruptive technology, Deep Render needs the help of the EIC to finish optimising and validating the technology already developed.

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Original classification

EU-Funded

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.