Yong Zhang

Achieving near machine precision in convolution problems, these frameworks redefine the efficiency and accuracy landscape of neural operator learning.

Trust domains required for protected execution can exceed expectations, revealing that five domains may be necessary for certain high-risk automated systems. WHY_IT MATTERS: This insight challenges existing assumptions about authority in automated systems and could significantly influence the design of security protocols in high-stakes environments.

OPSD-V shows that incorporating real video context during training can dramatically enhance the performance of autoregressive video generators, leading to superior visual quality and motion fidelity.