Abstract: This letter addresses the distributed filtering problem, i.e., distributed approximate inference for joint state and noise statistics estimation in linear state-space models subject to heavy ...

IVP, CapitalG, and NVIDIA anchor the round as inference becomes the defining infrastructure layer for AI. SAN FRANCISCO--(BUSINESS WIRE)--Baseten, the AI inference company chosen by the new wave of ...

IVP, CapitalG, and NVIDIA anchor the round as inference becomes the defining infrastructure layer for AI. Baseten, the AI inference company chosen by the new wave of category-defining AI applications, ...

The creators of the open source project vLLM have announced that they transitioned the popular tool into a VC-backed startup, Inferact, raising $150 million in seed funding at an $800 million ...

With that, the AI industry is entering a “new and potentially much larger phase: AI inference,” explains an article on the Morgan Stanley blog. They characterize this phase by widespread AI model ...

In recent years, the big money has flowed toward LLMs and training; but this year, the emphasis is shifting toward AI inference. LAS VEGAS — Not so long ago — last year, let’s say — tech industry ...

In Bayesian statistics, the choice of the prior can have an important influence on the posterior and the parameter estimation, especially when few data samples are available. To limit the added ...

This project aims to design a join sampling framework that enables very fast approximate queries in open-source database systems. Project is Not Currently Available This project has reached full ...

After carefully checking and debugging the inference process (i.e., forward_test() for TrajectoryHead), I found that it is entirely incorrect, or at least it is not a diffusion sampling process. There ...

Over the past several years, the lion’s share of artificial intelligence (AI) investment has poured into training infrastructure—massive clusters designed to crunch through oceans of data, where speed ...

This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...