Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

A lightweight, gradient-efficient unlearning framework that maintains test accuracy and membership inference resilience at high data-removal ratios without requiring extra retraining. Unlearned ...

Robot skill library ASPIRE — released June 29 by NVIDIA and collaborators — gives robots persistent memory by storing every debugging fix as a named, reusable code pattern. It pushed bimanual handover ...

Luo Jianlan, associate professor at the Shanghai Innovation Institute and chief scientist at Agibot. Photo source: Sohu. Data ...