Rui-Jie Zhu

Existing 3D asset generators can now produce objects that not only look good but also move and function realistically, passing physics tests for stability and collision-free articulation.

Sparse, quantized linear-attention models can outperform dense counterparts on neuromorphic hardware, achieving up to 37× higher throughput and 16× lower power consumption.

Retaining the right contextual information can boost long-context modeling performance by over 20% compared to traditional methods.