Our natural gradient approach enables application of parallel filtering andsmoothing, further reducing thetemporal spancomplexitytobelogarithmic inthe number oftime steps.

Visual Reinforcement Learning (RL) agents trained on limited views face significant challenges in generalizing their learned abilities to unseen views.

Clustering is a fundamental problem in data science, especially in the early stages of knowledge discovery.

A prime example is the recently debated "reversal curse", which surfaces when models, having been trained on the fact "A is B", struggle to generalize this knowledge to infer that "B is A ".

We propose ODER as a new strategy for improving the efficiency of DEQ through stochastic approximations of the measurement models. We theoretically analyze ODER giving insights intoits ability to approximate the traditional DEQ approach for solving inverse problems.

Roughly five years ago, Ant Group reined in its ambitions after a derailed initial public offering. Today, the Jack Ma-backed company is betting on a very different business to fuel its next phase of growth: health care powered by artificial intelligence. What began as a digital payments platform has become one of China's biggest investors in medical AI, backing software that fields patient questions and connects them with doctors, pharmacies and insurers. In November, Ant elevated its health unit to the same level as operations including Alipay and its lending businesses, underscoring how central the effort has become to the company's strategy. After years focused on consumer lending, wealth management and insurance technology, health care is now where executives believe AI can unlock the next wave of growth, leveraging Ant's massive user base to become its biggest business outside of payments.