In 2002, Raskin, along with his son Aza and the rest of the development team, built a software implementation of his ...
Daniel Zhengyu Huang, Tapio Schneider, and Andrew M. Stuart. "Iterated Kalman Methodology For Inverse Problems / Unscented Kalman Inversion." Daniel Zhengyu Huang, Jiaoyang Huang, Sebastian Reich, and ...
redner is a differentiable renderer that can take the derivatives of rendering outputs with respect to arbitrary scene parameters, that is, you can backpropagate from the image to your 3D scene. One ...
Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...
Abstract: We have already proposed the inverse function delayed (ID) model as a novel neuron model. The ID model has a negative resistance similar to Bonhoeffer-van der Pol (BVP) model and the network ...
Abstract: In robotics field, safety is an extensively researched subject. This article proposes an approach, which is based on high-order control barrier functions (HOCBFs) and computed torque control ...
Contribution from the Department of Applied Chemistry, School of Engineering, The University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902, Japan, National Laboratory of Molecular and Biomolecular ...
Chemical Engineering is concerned with the design and operation of processes which convert materials and energy into the higher value products we use every day. It understands the processes which ...
What about ChatGPT and related large AI Systems? How will they impact us all? As a longtime researcher in AI, I'm excited about the ways in which these new AI systems can improve our healthcare, ...
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