We are a dynamic research group within Intel Labs. We build multi-modal, complex reasoning systems at scale. We perform core research in Foundation Models, Graph Learning, Combinatorial Optimization and explore emerging application areas including Knowledge Graph Reasoning, Video Understanding-Generation, Chip Design and AI for Science with the notion of Scalable and Novel AI Primitives. We built one of the fastest billion-scale graph learning platforms, and one of the first foundation models for knowledge graph reasoning. We did “long-form” video understanding research using sparse transformers and graphs and producing state-of-the-art on many academic benchmarks. We do forefront research on efficient multimodal generative AI including video-llm focused on fined-grained temporal understanding. We do advanced research on AI for chip design and deep learning workload optimization. Finally, we are accelerating and democratizing AI for science - focusing on new benchmarks and tools for Material Science and Protein Synthesis.
To this end, we develop …… (see Research).
We do joint-research with academia.