Recursive Superintelligence Inc., a startup that hopes to develop self-improving artificial intelligence models, launched today with $650 million in funding. Alphabet Inc.’s GV fund and Greycroft led ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. logos of OpenAI There’s interesting news coming from Sam Altman’s empire, a firm known for ...

Marty Makary was appointed commissioner of the Food and Drug Administration (FDA) in 2025. The prominent surgeon, medical researcher, bestselling author, and critic of the medical ...

After twelve years at the helm of AI-drug developer Recursion, Chris Gibson will hand the CEO baton to Najat Khan, PhD, the company’s chief R&D officer and chief commercial officer, effective January ...

The optimal performance of nonlinear Kalman estimators (NKEs) depends on properly tuning five key components: process noise covariance, measurement noise covariance, initial state noise covariance, ...

ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...

Abstract: We present a novel recursive Bayesian estimation framework using B-splines for continuous-time 6-DoF dynamic motion estimation. The state vector consists of a recurrent set of position ...

Abstract: In this article, we present a principled study on establishing a recursive Bayesian estimation scheme using B-splines in Euclidean spaces. The use of recurrent control points as the state ...

Recursion said today it is eliminating approximately 20% of its workforce—about 160 jobs—in a restructuring the AI-based drug developer said reflects both its recently-pruned pipeline and the ...

The mathematics that enable sensor fusion include probabilistic modeling and statistical estimation using Bayesian inference and techniques like particle filters, Kalman filters, and α-β-γ filters, ...

Maximum likelihood estimation (frequentist) and Bayesian estimation are two common parameter estimation methods. However, maximum likelihood estimation faces limitations, including the effect of ...

Recursive Bayesian inference, in which posterior beliefs are updated in light of accumulating data, is a tool for implementing Bayesian models in applications with streaming and/or very large data ...