no code implementations • 24 Jul 2023 • Maria Bauza, Antonia Bronars, Yifan Hou, Ian Taylor, Nikhil Chavan-Dafle, Alberto Rodriguez
We propose simPLE (simulation to Pick Localize and PLacE) as a solution to precise pick-and-place.
no code implementations • 13 May 2021 • Iain Barclay, Alun Preece, Ian Taylor, Swapna K. Radha, Jarek Nabrzyski
Adopting shared data resources requires scientists to place trust in the originators of the data.
no code implementations • 5 Mar 2021 • Iain Barclay, Harrison Taylor, Alun Preece, Ian Taylor, Dinesh Verma, Geeth de Mel
Increased adoption of artificial intelligence (AI) systems into scientific workflows will result in an increasing technical debt as the distance between the data scientists and engineers who develop AI system components and scientists, researchers and other users grows.
no code implementations • 8 Jul 2019 • Iain Barclay, Alun Preece, Ian Taylor, Dinesh Verma
Increased adoption and deployment of machine learning (ML) models into business, healthcare and other organisational processes, will result in a growing disconnect between the engineers and researchers who developed the models and the model's users and other stakeholders, such as regulators or auditors.
no code implementations • 25 Sep 2018 • Iain Barclay, Alun Preece, Ian Taylor
Organisations are increasingly open to scrutiny, and need to be able to prove that they operate in a fair and ethical way.
3 code implementations • 3 Oct 2017 • 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
Since product images are readily available for a wide range of objects (e. g., from the web), the system works out-of-the-box for novel objects without requiring any additional training data.