We present our open sourced Sequential Aggregation and Rematerialization (SAR) scheme, which achieves impressive results on common graph learning benchmarks in terms of speed and memory efficiency.
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Neural networks news
Intel NN News
- Making Vector Search Work Best for RAG
This blog in the series on Scalable Vector Search summarizes insights from our study on optimizing […]
- GenAI-driven Music Composer Chorus.AI: Developer Spotlight
An Intel® Student Ambassador’s GenAI solution for music composition
- Tangible Immersion: How Intel Labs Programs Cobots Using Haptic Mixed Reality
Using programming-by-demonstration for collaborative robots (cobots), Intel Labs researchers employ […]
- Making Vector Search Work Best for RAG
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