Abstract: This article introduces a scalable distributed probabilistic inference algorithm for intelligent sensor networks, tackling challenges of continuous variables, intractable posteriors, and ...
The CNCF is bullish about cloud-native computing working hand in glove with AI. AI inference is the technology that will make hundreds of billions for cloud-native companies. New kinds of AI-first ...
CAMBRIDGE, MA – The degree to which someone trusts the information depicted in a chart can depend on their assumptions about who made the data visualization, according to a pair of studies by MIT ...
Merck & Co. has doubled down on its partnership with Variational AI, striking a deal worth up to $349 million to collaborate on small molecule candidates against two targets. Variational disclosed a ...
If the hyperscalers are masters of anything, it is driving scale up and driving costs down so that a new type of information technology can be cheap enough so it can be widely deployed. The ...
A one-slide representation is the best way to win over employees and investors. by João Cotter Salvado and Freek Vermeulen On December 1, 2014, Cypress Semiconductor announced that it was acquiring ...
FREMONT, Calif., May 20, 2025 /PRNewswire/ -- Leopard Imaging Inc. (Leopard Imaging), a leading provider of embedded AI vision solutions, is excited to demonstrate its NVIDIA Holoscan Sensor Bridge ...
We introduce a self-guided, interactive JupyterLab to familiarize undergraduate students with introductory quantum mechanics concepts. In the lab, the linear variational method is applied to a ...
Picture yourself printing out this post to read later. Imagine the place you will sit while reading it. What do you see on the walls? What background sounds are in the room? Feel the weight and ...
Abstract: In this work, we have developed a variational Bayesian inference theory of elasticity, which is accomplished by using a mixed Variational Bayesian inference Finite Element Method (VBI-FEM) ...
Many theories and tools abound to aid leaders in decision-making. This is because we often find ourselves caught between two perceived poles: following gut instincts or adopting a data-driven approach ...