Solaris
PulseAugur coverage of Solaris — every cluster mentioning Solaris across labs, papers, and developer communities, ranked by signal.
- 2026-06-05 research_milestone A new framework called SOLARIS was introduced to improve the efficiency of large recommendation models for real-time serving. source
1 day(s) with sentiment data
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Kunlun Wanwei's Matrix-Game 3.5 advances world models with joint state-action training
At the 8th Zhiyuan Conference, Kunlun Wanwei's Skywork team unveiled Matrix-Game 3.5, a significant advancement in world models. The new framework proposes joint training for state and action generation, moving beyond s…
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Meta uses SOLARIS to scale recommendation model inference
Researchers have developed SOLARIS, a new framework designed to make large recommendation models more efficient for real-time serving. SOLARIS uses a speculative approach to precompute user-item interaction embeddings, …
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NVIDIA and Tsinghua team create Gamma-World for multi-agent simulations
Researchers from NVIDIA, Tsinghua University, and other institutions have introduced Gamma-World, a novel framework for generative multi-agent world modeling. This system addresses the limitations of existing single-age…
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Researchers forecast solar energy potential using single images and AI
Researchers have developed a new method to forecast solar energy potential using a single image, addressing limitations of current 3D modeling techniques. This approach analyzes visual cues within the image to determine…