Abstract: This paper proposes approximate inference particle filtering for mobile robot simultaneous localization and mapping (SLAM) with landmarks. Range-bearing measurements are obtained by ...

If you were looking for the ideal time to IPO, being a chip company in May 2026 is hard to beat. Reuters reported over the weekend: Cerebras Systems is set to raise the size and price of its initial ...

Chrome on Android now lets users share their approximate location with websites rather than their precise location, Google announced this week. The tech giant says that while some cases require ...

Optimizing inference for long-context Large Language Models (LLMs) is increasingly important due to the quadratic compute and linear memory complexity of Transformers. Existing approximation methods, ...

Outside counsel selection platform Priori added agentic AI capabilities to its RFP offering. Scout, the new AI agent, is designed to assist with scoping work, identifying possible firms, drafting RFPs ...

Dr. Weatherby is the director of the Digital Theory Lab at New York University. Dr. Recht is a professor of electrical engineering and computer sciences at the University of California, Berkeley. See ...

A significant shift is under way in artificial intelligence, and it has huge implications for technology companies big and small. For the past half-decade, most of the focus in AI has been on training ...

Happy Pi Day! March 14 is the date that otherwise rational people celebrate this irrational number, because 3/14 contains the first three digits of pi. And hey, pi deserves a day. By definition, it’s ...

Source: Unknown internet meme origin (posted by Philip Goff) As a philosopher of science, I have some minor obligation to say something when other philosophers share harmful misinformation about how ...

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 ...

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 ...