Gareth J Conduit
Appearances
- Large chemical organizations have run dozens of R&D projects over the years: but typically the data from these projects languishes in corporate repositories (or even spreadsheets - not to mention filing cabinets) without providing value to ongoing research…
Presenter
Head of Machine Learning, Intellegens - Large chemical organizations have run dozens of R&D projects over the years: but typically the data from these projects languishes in corporate repositories (or even spreadsheets - not to mention filing cabinets) without providing value to ongoing research…
Speakers
- : [CATL] Division of Catalysis Science & Technology
Speakers
Ames National LaboratoryResearch Scientist, IBM Zurich Research LaboratoryCarnegie Mellon UniversityCarnegie Mellon UniversityHead of Machine Learning, IntellegensMassachusetts Institute of TechnologyIowa State UniversityIBM Almaden Research Center - Large chemical organizations have run dozens of R&D projects over the years: but typically the data from these projects languishes in corporate repositories (or even spreadsheets - not to mention filing cabinets) without providing value to ongoing research…
Speakers
- : [CATL] Division of Catalysis Science & Technology
Speakers
Ames National LaboratoryResearch Scientist, IBM Zurich Research LaboratoryCarnegie Mellon UniversityCarnegie Mellon UniversityHead of Machine Learning, IntellegensMassachusetts Institute of TechnologyIowa State UniversityIBM Almaden Research Center - Large chemical organizations have run dozens of R&D projects over the years: but typically the data from these projects languishes in corporate repositories (or even spreadsheets - not to mention filing cabinets) without providing value to ongoing research…
Speakers
- : [CATL] Division of Catalysis Science & Technology
Speakers
Ames National LaboratoryResearch Scientist, IBM Zurich Research LaboratoryIBM Almaden Research CenterIowa State UniversityMassachusetts Institute of TechnologyHead of Machine Learning, IntellegensCarnegie Mellon UniversityCarnegie Mellon University - Large chemical organizations have run dozens of R&D projects over the years: but typically the data from these projects languishes in corporate repositories (or even spreadsheets - not to mention filing cabinets) without providing value to ongoing research…
Speakers
- : [CATL] Division of Catalysis Science & Technology
Speakers
Ames National LaboratoryResearch Scientist, IBM Zurich Research LaboratoryIBM Almaden Research CenterIowa State UniversityMassachusetts Institute of TechnologyHead of Machine Learning, IntellegensCarnegie Mellon UniversityCarnegie Mellon University - DateMarch 27, 2023Large chemical organizations have run dozens of R&D projects over the years: but typically the data from these projects languishes in corporate repositories (or even spreadsheets - not to mention filing cabinets) without providing value to ongoing research…
Presenter
Head of Machine Learning, Intellegens - DateAugust 13, 2023Intellegens’ imputation machine learning (ML) method is shown to outperform traditional approaches to modelling toxicity data on an open-source data set of ~2500 ingredients containing sparse _in vitro_ and _in vivo_ data acquired from OECD QSAR Toolbox…
