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Providing Assurance and Scrutability on Shared Data and Machine Learning Models with Verifiable Credentials


May 13, 2021
Iain Barclay, Alun Preece, Ian Taylor, Swapna K. Radha, Jarek Nabrzyski

* This is the submitted, pre-peer reviewed version of this paper 

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GelSlim3.0: High-Resolution Measurement of Shape, Force and Slip in a Compact Tactile-Sensing Finger


Mar 23, 2021
Ian Taylor, Siyuan Dong, Alberto Rodriguez


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A framework for fostering transparency in shared artificial intelligence models by increasing visibility of contributions


Mar 05, 2021
Iain Barclay, Harrison Taylor, Alun Preece, Ian Taylor, Dinesh Verma, Geeth de Mel

* This is the pre-peer reviewed version of the following article: Barclay I, Taylor H, Preece A, Taylor I, Verma D, de Mel G. A framework for fostering transparency in shared artificial intelligence models by increasing visibility of contributions. Concurrency Computat Pract Exper. 2020;e6129. arXiv admin note: substantial text overlap with arXiv:1907.03483 

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Quantifying Transparency of Machine Learning Systems through Analysis of Contributions


Jul 08, 2019
Iain Barclay, Alun Preece, Ian Taylor, Dinesh Verma


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Defining the Collective Intelligence Supply Chain


Sep 25, 2018
Iain Barclay, Alun Preece, Ian Taylor

* Presented at AAAI FSS-18: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA 

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Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching


Apr 01, 2018
Andy Zeng, Shuran Song, Kuan-Ting Yu, Elliott Donlon, Francois R. Hogan, Maria Bauza, Daolin Ma, Orion Taylor, Melody Liu, Eudald Romo, Nima Fazeli, Ferran Alet, Nikhil Chavan Dafle, Rachel Holladay, Isabella Morona, Prem Qu Nair, Druck Green, Ian Taylor, Weber Liu, Thomas Funkhouser, Alberto Rodriguez

* To appear at the International Conference on Robotics and Automation (ICRA) 2018. Project webpage: http://arc.cs.princeton.edu Summary video: https://youtu.be/6fG7zwGfIkI 

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