droppGroup, a leading generative digital media developer, announced an extension of its collaboration with UC Berkeley’s Launchpad organization, according to the information shared with Finbold on April 2.
The collaboration now focuses on developing a benchmarking framework for droppGroup’s Generative Media Intelligence (GMI) system, which generates multimedia content driven by artificial intelligence (AI), including 3D models, XR experiences, and metaverse environments.
This framework will enable standardized evaluation of droppGroup’s GMI system based on factors such as performance, safety, efficiency, and user interaction.
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doppGroup’s generative AI capabilities
The rapidly expanding generative AI market, projected to reach nearly $52 billion by 2028, is primarily driven by large language models (LLMs) and Generative Media Intelligence (GMI).
While LLMs have transformed text-based tasks, GMI is revolutionizing media content creation with tools that can help users realize their visions in unprecedented ways.
Within droppaMiGO, its proprietary system, droppGroup’s droppPhygital content generation platform leverages GMI to transform simple inputs like images into complex 3D models and immersive digital environments.
Such technology allows for the creation of interactive and dynamic digital assets suitable for digital marketplaces, gaming platforms, or virtual reality, significantly reducing the time and expertise required for content creation.
A content creation paradigm shift
Transitioning from traditional digital content creation to an AI-driven approach marks a transformative paradigm shift.
The ability to generate interactive digital assets on demand has profound implications for gaming, entertainment, education, and e-commerce, reshaping how we engage with digital content.
doppGroup’s collaboration with UC Berkeley not only addresses the standardization gap arising from such a shift but also establishes a systematic approach to evaluating generative AI capabilities
Christopher Kelly, President & Co-Founder of droppGroup, emphasized the significance of the partnership, stating:
“This partnership exemplifies the powerful outcomes achievable when academic research and industry innovation converge. Combining UC Berkeley’s academic excellence and research capabilities with droppGroup’s cutting-edge technology and real-world applications, this collaboration is set to push the boundaries of what’s possible in AI and machine learning. It demonstrates a successful model for how such collaborations can accelerate technological advancements and applications in society.”
By establishing benchmarks for AI systems’ ability to convert textual inputs into 3D models and environments, the partnership sets a new standard for AI technology development and evaluation.
The project will commence in Q1 2024, with a detailed timeline spanning from February to the final deliverable in May 2024.
