Канал: AI 4 Scientific Discovery

Reproducibility, Jupyter notebooks and associated research software engineering - Hans Fangohr

Reproducibility, Jupyter notebooks and associated research software engineering - Hans Fangohr

FI2NI: Data Visualisation with Python – Mr Samuel Munday

FI2NI: Data Visualisation with Python – Mr Samuel Munday

FI2NI: Data Visualisation in Publishing & Communication – Dr Sarah Callaghan

FI2NI: Data Visualisation in Publishing & Communication – Dr Sarah Callaghan

FI2NI: Introduction to Data Visualisation – Dr Rita Borgo

FI2NI: Introduction to Data Visualisation – Dr Rita Borgo

FI2NI: (Reproducible) Data Viz with R & how to make interactive things with R - Charlie Hadley

FI2NI: (Reproducible) Data Viz with R & how to make interactive things with R - Charlie Hadley

AI4SD ECR: Introduction to ED&I and development of your code of conduct – Debra Fearnshaw

AI4SD ECR: Introduction to ED&I and development of your code of conduct – Debra Fearnshaw

AI4SD ECR: Transitioning to Industry: A Long, Short Road – Will Bowers

AI4SD ECR: Transitioning to Industry: A Long, Short Road – Will Bowers

AI4SD ECR: Create a Killer CV – Robert Bowles

AI4SD ECR: Create a Killer CV – Robert Bowles

AI4SD ECR: Research to Startup – Mr Samuel Munday

AI4SD ECR: Research to Startup – Mr Samuel Munday

AI4SD ECR: Introduction to EPSRC and Funding Opportunities – Dr Liam Boyle

AI4SD ECR: Introduction to EPSRC and Funding Opportunities – Dr Liam Boyle

AI4SD ECR: Opportunities for ECRs in the Royal Society of Chemistry – Robert Bowles

AI4SD ECR: Opportunities for ECRs in the Royal Society of Chemistry – Robert Bowles

SciData: Semantic Representation of Scientific Data and Applications in Chemistry - Stuart J. Chalk

SciData: Semantic Representation of Scientific Data and Applications in Chemistry - Stuart J. Chalk

AI4SD2022: Conference Highlights

AI4SD2022: Conference Highlights

AI4SD2022: AI Insights from Billions of Dollars of Ready-Cleaned Data – Dr Will Bowers

AI4SD2022: AI Insights from Billions of Dollars of Ready-Cleaned Data – Dr Will Bowers

ML2: Estimation with Machine Learning - Mahesan Niranjan

ML2: Estimation with Machine Learning - Mahesan Niranjan

ML3: Classification and Clustering - Mahesan Niranjan

ML3: Classification and Clustering - Mahesan Niranjan

ML5: Radial Basis Functions and Multi-Layer Perceptrons - Mahesan Niranjan

ML5: Radial Basis Functions and Multi-Layer Perceptrons - Mahesan Niranjan

ML4: Linear Regression to Perceptron Convergence - Mahesan Niranjan

ML4: Linear Regression to Perceptron Convergence - Mahesan Niranjan

ML1: Mathematical Foundations for ML - Mahesan Niranjan

ML1: Mathematical Foundations for ML - Mahesan Niranjan

AI4SD2022: Interpreting Opacity - Dr Will McNeill

AI4SD2022: Interpreting Opacity - Dr Will McNeill

AI4SD2022: AI standardization to enable digital development – Emelie Bratt (BSI)

AI4SD2022: AI standardization to enable digital development – Emelie Bratt (BSI)

AI4SD2022: The Summer School, but not as we know it! – Dr Martin Elliott

AI4SD2022: The Summer School, but not as we know it! – Dr Martin Elliott

AI4SD2022: Bayesian Optimisation in Chemistry – Rubaiyat Khondaker

AI4SD2022: Bayesian Optimisation in Chemistry – Rubaiyat Khondaker

AI4SD2022: Making music with automated processes and AI for the AI3SD Network - Mubin Kazmi

AI4SD2022: Making music with automated processes and AI for the AI3SD Network - Mubin Kazmi

AI4SD2022: Curated large inorganic datasets of Reconnected InChI, InChI & IUPAC name – Thomas Allam

AI4SD2022: Curated large inorganic datasets of Reconnected InChI, InChI & IUPAC name – Thomas Allam

AI4SD2022: Harnessing advanced algorithms – Dr Thomas Chamberlain

AI4SD2022: Harnessing advanced algorithms – Dr Thomas Chamberlain

AI4SD2022: High-throughput generation of chemical isomers - Dr Francisco Martin-Martinez

AI4SD2022: High-throughput generation of chemical isomers - Dr Francisco Martin-Martinez

AI4SD2022: Moral IT Cards & Design Fiction – Dr Samantha Kanza, Dr Naomi Jacobs, Dr Peter Craigon

AI4SD2022: Moral IT Cards & Design Fiction – Dr Samantha Kanza, Dr Naomi Jacobs, Dr Peter Craigon

AI4SD 2022: Development of a full stack for digital R&D & chemical process - Prof. Alexei Lapkin

AI4SD 2022: Development of a full stack for digital R&D & chemical process - Prof. Alexei Lapkin

AI4SD2022: PSDI - Shaping the physical sciences roadmap - Professor Simon Coles & Dr Nicola Knight

AI4SD2022: PSDI - Shaping the physical sciences roadmap - Professor Simon Coles & Dr Nicola Knight

AI4SD2022: Predictive Retrosynthesis in SciFinder-n – Dr Gary Gustafson

AI4SD2022: Predictive Retrosynthesis in SciFinder-n – Dr Gary Gustafson

AI4SD2022: Sharing Data Science Solutions Across Domains via Patterns – Dr Sarah Callaghan

AI4SD2022: Sharing Data Science Solutions Across Domains via Patterns – Dr Sarah Callaghan

AI4SD2022: Open Access Publishing & Open Data – Alexander Whiteside

AI4SD2022: Open Access Publishing & Open Data – Alexander Whiteside

AI4SD2022: The Crystal Isometry Principle – Dr Vitaliy Kurlin

AI4SD2022: The Crystal Isometry Principle – Dr Vitaliy Kurlin

AI4SD2022: Making sense of highly flexible molecular simulations – Dr Christof Jager

AI4SD2022: Making sense of highly flexible molecular simulations – Dr Christof Jager

AI4SD2022: Event detection in single-molecule data – Professor Tim Albrecht

AI4SD2022: Event detection in single-molecule data – Professor Tim Albrecht

AI4SD2022: Automated Rational Design of Metal-Organic Polyhedra – Dr Aleksandar Kondinski

AI4SD2022: Automated Rational Design of Metal-Organic Polyhedra – Dr Aleksandar Kondinski

AI4SD2022: Discovery of Synthesisable Organic Materials – Steven Bennett

AI4SD2022: Discovery of Synthesisable Organic Materials – Steven Bennett

AI4SD2022: AI and optimisation in Computational Chemistry – Dr Grant Hill

AI4SD2022: AI and optimisation in Computational Chemistry – Dr Grant Hill

AI4SD2022: Interpretable Machine Learning for Materials’ Design & Characterisation – Dr Keith Butler

AI4SD2022: Interpretable Machine Learning for Materials’ Design & Characterisation – Dr Keith Butler

AI4SD2022: Cross-architecture tuning of quantum devices faster than human experts – Dr Natalia Ares

AI4SD2022: Cross-architecture tuning of quantum devices faster than human experts – Dr Natalia Ares

AI4SD2022: Inference from Medical Images: Subspaces 4 Low Data Regimes – Professor Mahesan Niranjan

AI4SD2022: Inference from Medical Images: Subspaces 4 Low Data Regimes – Professor Mahesan Niranjan

AI4SD2022: Outlier Detection in Scientific Data – Dr Jo Grundy

AI4SD2022: Outlier Detection in Scientific Data – Dr Jo Grundy

AI4SD2022: Reinforcement Learning Methods – Dr Stephen Gow

AI4SD2022: Reinforcement Learning Methods – Dr Stephen Gow

AI3SD 2022: AI & multi-omics discovery: Understanding ageing at a systems level – Dr Janna Hastings

AI3SD 2022: AI & multi-omics discovery: Understanding ageing at a systems level – Dr Janna Hastings

AI4SD2022: Translating innovations out the lab & into the clinic: Dr Jennifer Hiscock & Thomas Allam

AI4SD2022: Translating innovations out the lab & into the clinic: Dr Jennifer Hiscock & Thomas Allam

AI4SD2022: EDI in Networks: Developing your inclusive approach – Debra Fearnshaw

AI4SD2022: EDI in Networks: Developing your inclusive approach – Debra Fearnshaw

AI4SD2022: RSC CICAG “Who we are, what we do and what we are planning” – Dr Chris Swain

AI4SD2022: RSC CICAG “Who we are, what we do and what we are planning” – Dr Chris Swain

AI4SD2022: Introducing the Future Blood Testing Network – Dr Weizi (Vicky) Li

AI4SD2022: Introducing the Future Blood Testing Network – Dr Weizi (Vicky) Li

AI4SD2022: Welcome & AI4SD Network Retrospective - Professor Jeremy Frey

AI4SD2022: Welcome & AI4SD Network Retrospective - Professor Jeremy Frey

FI2NI: Using Scopus & SciVal to track your research impact & find collaborators – Christopher James

FI2NI: Using Scopus & SciVal to track your research impact & find collaborators – Christopher James

FI2NI: Capturing and Tracking your Outputs – Dr Samantha Kanza & Dr Nicola Knight

FI2NI: Capturing and Tracking your Outputs – Dr Samantha Kanza & Dr Nicola Knight

FI2NI: Hints and tips for optimising your researchfish data – Gavin Reddick

FI2NI: Hints and tips for optimising your researchfish data – Gavin Reddick

FI2NI: Organising your Networks & Projects – Dr Samantha Kanza & Dr Nicola Knight

FI2NI: Organising your Networks & Projects – Dr Samantha Kanza & Dr Nicola Knight

Solving the World's Problems with chemistry

Solving the World's Problems with chemistry

AI3SD Autumn Seminar X: Molecules & Data - Talk 1 - Associate Professor Emma Schymanski

AI3SD Autumn Seminar X: Molecules & Data - Talk 1 - Associate Professor Emma Schymanski

AI3SD Autumn Seminar X: Molecules & Data - Talk 1 - Dr Barbara Zdrazil

AI3SD Autumn Seminar X: Molecules & Data - Talk 1 - Dr Barbara Zdrazil

AI3SD Autumn Seminar III: Data Science 4 Chemistry: Talk 1 - Dr Nessa Carson

AI3SD Autumn Seminar III: Data Science 4 Chemistry: Talk 1 - Dr Nessa Carson

AI3SD Autumn Seminar IX: Large Spaces - Talk 2 - Professor Zoheir Sabeur

AI3SD Autumn Seminar IX: Large Spaces - Talk 2 - Professor Zoheir Sabeur

AI3SD Autumn Seminar IX: Large Spaces - Talk 1 - Professor Heather Kulik

AI3SD Autumn Seminar IX: Large Spaces - Talk 1 - Professor Heather Kulik

AI3SD Autumn Seminar VIII: Molecules, Graphs & Networks - Talk 2 - Yingfang Yuan

AI3SD Autumn Seminar VIII: Molecules, Graphs & Networks - Talk 2 - Yingfang Yuan

AI3SD Autumn Seminar VIII: Molecules, Graphs & Networks - Talk 1 - Professor Jan Jensen

AI3SD Autumn Seminar VIII: Molecules, Graphs & Networks - Talk 1 - Professor Jan Jensen

AI3SD Autumn Seminar VII: Digital Twins - Talk 1 - Professor Markus Kraft

AI3SD Autumn Seminar VII: Digital Twins - Talk 1 - Professor Markus Kraft

AI3SD Autumn Seminar VI: Medicinal Chemistry: Talk 2 - Dr Alexander G. Dossetter

AI3SD Autumn Seminar VI: Medicinal Chemistry: Talk 2 - Dr Alexander G. Dossetter

AI3SD Autumn Seminar VI: Medicinal Chemistry: Talk 1 - Dr Lewis Vidler

AI3SD Autumn Seminar VI: Medicinal Chemistry: Talk 1 - Dr Lewis Vidler

AI3SD Autumn Seminar IV: AI & ML 4 Drugs & Materials: Talk 1 - Tom Fleming

AI3SD Autumn Seminar IV: AI & ML 4 Drugs & Materials: Talk 1 - Tom Fleming

AI3SD Autumn Seminar V: Quantum Machine Learning: Talk 3 - Professor Anatole von Lilenfeld

AI3SD Autumn Seminar V: Quantum Machine Learning: Talk 3 - Professor Anatole von Lilenfeld

AI3SD Autumn Seminar V: Quantum Machine Learning: Talk 2 - JulesTilly

AI3SD Autumn Seminar V: Quantum Machine Learning: Talk 2 - JulesTilly

AI3SD Autumn Seminar V: Quantum Machine Learning: Talk 1 - Dr Frank C Langbein

AI3SD Autumn Seminar V: Quantum Machine Learning: Talk 1 - Dr Frank C Langbein

AI3SD Autumn Seminar IV: AI & ML 4 Drugs & Materials: Talk 3 - Olexandr Isayev

AI3SD Autumn Seminar IV: AI & ML 4 Drugs & Materials: Talk 3 - Olexandr Isayev

AI3SD Autumn Seminar IV: AI & ML 4 Drugs & Materials: Talk 2 - Professor Ola Engkvist

AI3SD Autumn Seminar IV: AI & ML 4 Drugs & Materials: Talk 2 - Professor Ola Engkvist

AI3SD Autumn Seminar III: Data Science 4 Chemistry: Talk 1 - Dr Anat Milo

AI3SD Autumn Seminar III: Data Science 4 Chemistry: Talk 1 - Dr Anat Milo

AI3SD Autumn Seminar II: Explainable AI & ML: Talk 2 - Dr Fosca Giannotti

AI3SD Autumn Seminar II: Explainable AI & ML: Talk 2 - Dr Fosca Giannotti

AI3SD Autumn Seminar II: Explainable AI & ML: Talk 1 - Professor Carlos Zednik

AI3SD Autumn Seminar II: Explainable AI & ML: Talk 1 - Professor Carlos Zednik

AI3SD Autumn Seminar I: Linked Data, Ontologies & Deep Learning: Talk 2 - Dr Egon Willighagen

AI3SD Autumn Seminar I: Linked Data, Ontologies & Deep Learning: Talk 2 - Dr Egon Willighagen

AI3SD Autumn Seminar I: Linked Data, Ontologies & Deep Learning: Talk 1 - Dr Janna Hastings

AI3SD Autumn Seminar I: Linked Data, Ontologies & Deep Learning: Talk 1 - Dr Janna Hastings

Skills4Scientists - Poster & Careers Symposium - Poster Cartoon Timelapse Compilation

Skills4Scientists - Poster & Careers Symposium - Poster Cartoon Timelapse Compilation

Skills4Scientists - Posters & Careers Symposium: PhD Opportunities in Physical Sciences: Jeremy Frey

Skills4Scientists - Posters & Careers Symposium: PhD Opportunities in Physical Sciences: Jeremy Frey

Skills4Scientists - Poster & Careers Symposium - Poster Compilation

Skills4Scientists - Poster & Careers Symposium - Poster Compilation

Skills4Scientists - Careers 2 - A Career in Chemistry and Beyond - Dr Kevin Parker

Skills4Scientists - Careers 2 - A Career in Chemistry and Beyond - Dr Kevin Parker

Skills4Scientists - Careers 1 - Networking & Marketing Yourself - Dr Kevin Parker

Skills4Scientists - Careers 1 - Networking & Marketing Yourself - Dr Kevin Parker

Skills4Scientists - Ethical Research - Writing an Ethics Application - Dr Samantha Kanza

Skills4Scientists - Ethical Research - Writing an Ethics Application - Dr Samantha Kanza

Skills4Scientists - Ethical Research - Introduction to Ethics - Dr Peter Craigon

Skills4Scientists - Ethical Research - Introduction to Ethics - Dr Peter Craigon

ML4MC - Understanding the solid form: Structural Systematics Crystal Sponges - Professor Simon Coles

ML4MC - Understanding the solid form: Structural Systematics Crystal Sponges - Professor Simon Coles

ML4MC - Simulation of chemical dynamics and spectroscopy - Dr Reinhard Maurer

ML4MC - Simulation of chemical dynamics and spectroscopy - Dr Reinhard Maurer

ML4MC - Quantifying crystal similarity - Dr James Cumby

ML4MC - Quantifying crystal similarity - Dr James Cumby

ML4MC: Calibrated Deep Representations & entropy based active learning 4 materials - Dr Keith Butler

ML4MC: Calibrated Deep Representations & entropy based active learning 4 materials - Dr Keith Butler

Skills4Scientists - Careers 1 - Cultivating your Web Presence - Dr Samantha Kanza

Skills4Scientists - Careers 1 - Cultivating your Web Presence - Dr Samantha Kanza

Skills4Scientists - Careers 1 - Writing a CV - Dr Sarah Hewitt

Skills4Scientists - Careers 1 - Writing a CV - Dr Sarah Hewitt

Skills4Scientists: Posters, Presentations & Reports: Collaborative Reports/Presentations: Sami+Nikki

Skills4Scientists: Posters, Presentations & Reports: Collaborative Reports/Presentations: Sami+Nikki

Skills4Scientists - Posters, Presentations & Reports - Producing a good Poster - Jonathan & Heather

Skills4Scientists - Posters, Presentations & Reports - Producing a good Poster - Jonathan & Heather

Skills4Scientists: Posters, Presentations & Reports: Presenting in Person/Online - Dr Nicola Knight

Skills4Scientists: Posters, Presentations & Reports: Presenting in Person/Online - Dr Nicola Knight

Skills4Scientists - Posters, Presentations & Reports - Scientific Communication - Dr Sarah Callaghan

Skills4Scientists - Posters, Presentations & Reports - Scientific Communication - Dr Sarah Callaghan

ML4MC - Machine Learning with Causality in Chemistry - Dr Bao Nguyen

ML4MC - Machine Learning with Causality in Chemistry - Dr Bao Nguyen

ML4MC Detecting unexpected features & physical processes in single-molecule data - Prof Tim Albrecht

ML4MC Detecting unexpected features & physical processes in single-molecule data - Prof Tim Albrecht

ML4MC - Assembling peptide and protein structures - Dr Anna Peacock

ML4MC - Assembling peptide and protein structures - Dr Anna Peacock

ML4MC - Applying Machine Learning to Structured Time-course sensor data - Dr David Pattison

ML4MC - Applying Machine Learning to Structured Time-course sensor data - Dr David Pattison

ML4MC - DNA: coding blocks for biocompatible assembly & disassembly - Dr Niek Buurma

ML4MC - DNA: coding blocks for biocompatible assembly & disassembly - Dr Niek Buurma

Skills4Scientists - Intro to Python 2 - Data Analysis Case Study - Mr Samuel Munday

Skills4Scientists - Intro to Python 2 - Data Analysis Case Study - Mr Samuel Munday

Skills4Scientists - Intro to Python 2 - Typing, Variables, Data Types & Functions - Mr Samuel Munday

Skills4Scientists - Intro to Python 2 - Typing, Variables, Data Types & Functions - Mr Samuel Munday

Skills4Scientists - Intro to Python 2 - Producing Useful Code - Mr Samuel Munday

Skills4Scientists - Intro to Python 2 - Producing Useful Code - Mr Samuel Munday

Skills4Scientists - Version Control & LaTeX - LaTeX in Overleaf - Dr Nicola Knight

Skills4Scientists - Version Control & LaTeX - LaTeX in Overleaf - Dr Nicola Knight

Skills4Scientists - Version Control & LaTeX - GitHub & LaTeX Demo - Samantha Kanza & Samuel Munday

Skills4Scientists - Version Control & LaTeX - GitHub & LaTeX Demo - Samantha Kanza & Samuel Munday

Skills4Scientists - Version Control & LaTeX - Intro to Git - Mr Samuel Munday

Skills4Scientists - Version Control & LaTeX - Intro to Git - Mr Samuel Munday

Skills4Scientists - Version Control & LaTeX - Intro to LaTeX - Dr Samantha Kanza

Skills4Scientists - Version Control & LaTeX - Intro to LaTeX - Dr Samantha Kanza

ML4MC - Directed Assembly of Materials - A 50 year retrospective - Professor Chick Wilson

ML4MC - Directed Assembly of Materials - A 50 year retrospective - Professor Chick Wilson

Skills4Scientists - Intro to Python 1 - Using RDKit in Anaconda - Mr Samuel Munday

Skills4Scientists - Intro to Python 1 - Using RDKit in Anaconda - Mr Samuel Munday

Skills4Scientists - Intro to Python 1 - Setup, Environments & Jupyter Notebooks - Mr Samuel Munday

Skills4Scientists - Intro to Python 1 - Setup, Environments & Jupyter Notebooks - Mr Samuel Munday

Skills4Scientists - All’s Fair in love and data management – Ms Isobel Stark

Skills4Scientists - All’s Fair in love and data management – Ms Isobel Stark

Skills4Scientists - RDM - Collaborative Data Management - Dr Samantha Kanza

Skills4Scientists - RDM - Collaborative Data Management - Dr Samantha Kanza

Skills4Scientists - RDM - Referencing & Using Reference Managers - Dr Nicola Knight

Skills4Scientists - RDM - Referencing & Using Reference Managers - Dr Nicola Knight

AI4Proteins: General Effects of AI on Drug Discovery - Dr Derek Lowe

AI4Proteins: General Effects of AI on Drug Discovery - Dr Derek Lowe

AI4Proteins: Open Access Data for AI Approaches to Protein Structure Prediction Prof Stephen Burley

AI4Proteins: Open Access Data for AI Approaches to Protein Structure Prediction Prof Stephen Burley

AI4Proteins: The “almost druggable” genome – Professor Tudor Oprea

AI4Proteins: The “almost druggable” genome – Professor Tudor Oprea

AI4Proteins: Designing molecular models by ML & experimental data – Professor Cecilia Clementi

AI4Proteins: Designing molecular models by ML & experimental data – Professor Cecilia Clementi

AI4Proteins: A Deep Learning approach 2 predict ligand binding conformations Dr Oscar Méndez-Lucio

AI4Proteins: A Deep Learning approach 2 predict ligand binding conformations Dr Oscar Méndez-Lucio

AI4Proteins: Lessons learned from generative models of biological sequences –Prof Aleksej Zelezniak

AI4Proteins: Lessons learned from generative models of biological sequences –Prof Aleksej Zelezniak

AI4Proteins: Using icospherical input data in ML on the protein-binding problem – Dr Ella Gale

AI4Proteins: Using icospherical input data in ML on the protein-binding problem – Dr Ella Gale

AI4Proteins: Finding new in silico-based therapeutic strategies for IAHSP Dr Matteo Rossi Sebastiano

AI4Proteins: Finding new in silico-based therapeutic strategies for IAHSP Dr Matteo Rossi Sebastiano

AI4Proteins: Deep Learning enhanced prediction of protein structure & dynamics Dr Martina Audagnotto

AI4Proteins: Deep Learning enhanced prediction of protein structure & dynamics Dr Martina Audagnotto

AI4Proteins: Protein-Ligand Structure Prediction for GPCR Drug Design – Dr Chris De Graaf

AI4Proteins: Protein-Ligand Structure Prediction for GPCR Drug Design – Dr Chris De Graaf

AI4Proteins: How good are protein structure prediction methods at predicting? – Mr Carlos Outeiral

AI4Proteins: How good are protein structure prediction methods at predicting? – Mr Carlos Outeiral

AI4Proteins: Fireflies-Lévy Flights algorithm 4 peptides conformational optimization – Dr Zied Hosni

AI4Proteins: Fireflies-Lévy Flights algorithm 4 peptides conformational optimization – Dr Zied Hosni

AI4Proteins: So you predicted a protein structure – What now? – Dr Thomas Steinbrecher

AI4Proteins: So you predicted a protein structure – What now? – Dr Thomas Steinbrecher

AI4Proteins: Multiscale simulation of biomolecular mechanisms & dynamics – Prof Adrian J Mulholland

AI4Proteins: Multiscale simulation of biomolecular mechanisms & dynamics – Prof Adrian J Mulholland

AI4Proteins: ML applications 4 macro-molecular X-ray crystallography at Diamond – Dr Melanie Vollmar

AI4Proteins: ML applications 4 macro-molecular X-ray crystallography at Diamond – Dr Melanie Vollmar

AI4Proteins: Machine learning for biological sequence design – Dr Lucy Colwell

AI4Proteins: Machine learning for biological sequence design – Dr Lucy Colwell

AI3SD Winter Seminar Series #8 Property Prediction: Talk 2 - Dr Bao Nguyen

AI3SD Winter Seminar Series #8 Property Prediction: Talk 2 - Dr Bao Nguyen

AI3SD Winter Seminar Series #8 Property Prediction: Talk 1 - Professor Erich Müller

AI3SD Winter Seminar Series #8 Property Prediction: Talk 1 - Professor Erich Müller

AI3SD Winter Seminar Series #7: Materials Machine Learning (MML): Talk 2 - Professor Graeme Day

AI3SD Winter Seminar Series #7: Materials Machine Learning (MML): Talk 2 - Professor Graeme Day

AI3SD Winter Seminar Series #7: Materials Machine Learning (MML): Talk 1 - Dr Reinhard Maurer

AI3SD Winter Seminar Series #7: Materials Machine Learning (MML): Talk 1 - Dr Reinhard Maurer

AI3SD Winter Seminar Series #6: Semantic Web Technologies in Chemistry: Talk 3 - Dr Alex Simperler

AI3SD Winter Seminar Series #6: Semantic Web Technologies in Chemistry: Talk 3 - Dr Alex Simperler

AI3SD Winter Seminar Series #6: Semantic Web Technologies in Chemistry: Talk 2 - Dr Colin Batchelor

AI3SD Winter Seminar Series #6: Semantic Web Technologies in Chemistry: Talk 2 - Dr Colin Batchelor

AI3SD Winter Seminar Series #6: Semantic Web Technologies in Chemistry: Talk 1 - Dr Samantha Kanza

AI3SD Winter Seminar Series #6: Semantic Web Technologies in Chemistry: Talk 1 - Dr Samantha Kanza

AI3SD Winter Seminar #5: Graphs, Networks & Molecules: Talk 3 - Dr Jenna A. Bilbrey

AI3SD Winter Seminar #5: Graphs, Networks & Molecules: Talk 3 - Dr Jenna A. Bilbrey

AI3SD Winter Seminar #5: Graphs, Networks & Molecules: Talk 2 - Professor Jonathan Hirst

AI3SD Winter Seminar #5: Graphs, Networks & Molecules: Talk 2 - Professor Jonathan Hirst

AI3SD Winter Seminar #5: Graphs, Networks & Molecules: Talk 1 - Dr Julia Westermayr

AI3SD Winter Seminar #5: Graphs, Networks & Molecules: Talk 1 - Dr Julia Westermayr

AI3SD Winter Seminar #4: ML 4 Scientific Discovery: Talk 2 - Dr Jo Grundy

AI3SD Winter Seminar #4: ML 4 Scientific Discovery: Talk 2 - Dr Jo Grundy

AI3SD Winter Seminar #4: ML 4 Scientific Discovery: Talk 1 - Professor Jacqui Cole

AI3SD Winter Seminar #4: ML 4 Scientific Discovery: Talk 1 - Professor Jacqui Cole

AI3SD Winter Seminar #3: Enhancing Experiments through Machine Learning Talk 3 - Dr Natalie Fey

AI3SD Winter Seminar #3: Enhancing Experiments through Machine Learning Talk 3 - Dr Natalie Fey

AI3SD Winter Seminar#3: Enhancing Experiments through Machine Learning Talk 2-Professor Tim Albrecht

AI3SD Winter Seminar#3: Enhancing Experiments through Machine Learning Talk 2-Professor Tim Albrecht

AI3SD Winter Seminar #3: Enhancing Experiments through Machine Learning Talk 1 - Dr Keith Butler

AI3SD Winter Seminar #3: Enhancing Experiments through Machine Learning Talk 1 - Dr Keith Butler

FI2NI: Publishing and citing data in practice – Mr Jez Cope

FI2NI: Publishing and citing data in practice – Mr Jez Cope

FI2NI: Data publication – a personal tale – Dr Sarah Callaghan

FI2NI: Data publication – a personal tale – Dr Sarah Callaghan

AI3SD Winter Seminar #2: Robots, AI & NLP in Drug Discovery Talk 3 - Professor Matthew Todd

AI3SD Winter Seminar #2: Robots, AI & NLP in Drug Discovery Talk 3 - Professor Matthew Todd

AI3SD Winter Seminar #2: Robots, AI & NLP in Drug Discovery Talk 2 - Dr Martin-Immanuel Bittner

AI3SD Winter Seminar #2: Robots, AI & NLP in Drug Discovery Talk 2 - Dr Martin-Immanuel Bittner

FI2NI: Practical Ethics for Data Science and Algorithm Design – Tessa Darbyshire

FI2NI: Practical Ethics for Data Science and Algorithm Design – Tessa Darbyshire

FI2NI: Data Legislation Personal/Non-Personal Data, Ethical Issues & Protecting IP – Michele Voznick

FI2NI: Data Legislation Personal/Non-Personal Data, Ethical Issues & Protecting IP – Michele Voznick

FI2NI: Ethical data management – balancing individual privacy and public benefit – Zosia Beckles

FI2NI: Ethical data management – balancing individual privacy and public benefit – Zosia Beckles

AI3SD Winter Seminar #1: Topology & Applications in Chemistry Talk 3 - Professor Aurora Clark

AI3SD Winter Seminar #1: Topology & Applications in Chemistry Talk 3 - Professor Aurora Clark

AI3SD Winter Seminar #1: Topology & Applications in Chemistry Talk 2 - Dr Ingrid Membrillo Solis

AI3SD Winter Seminar #1: Topology & Applications in Chemistry Talk 2 - Dr Ingrid Membrillo Solis

AI3SD Winter Seminar #1: Topology & Applications in Chemistry Talk 1 - Professor Jacek Brodzki

AI3SD Winter Seminar #1: Topology & Applications in Chemistry Talk 1 - Professor Jacek Brodzki

Failed it to Nailed it: Linked Data – Examples and Heuristics - Dr Terhi Nurmikko-Fuller

Failed it to Nailed it: Linked Data – Examples and Heuristics - Dr Terhi Nurmikko-Fuller

FI2NI: Giving your Open Data the best chance to realise its potential - Mr Chris Gutteridge

FI2NI: Giving your Open Data the best chance to realise its potential - Mr Chris Gutteridge

FI2NI: Data Generation Data Standards & Metadata Capture in Drug Discovery - Martin-Immanuel Bittner

FI2NI: Data Generation Data Standards & Metadata Capture in Drug Discovery - Martin-Immanuel Bittner

FI2NI: Digitising your Chemistry for Recordability, Shareabilty and Reproducibility - Dr Mark Warne

FI2NI: Digitising your Chemistry for Recordability, Shareabilty and Reproducibility - Dr Mark Warne

FI2NI: Pitfalls and Gotcha’s with bioactivity data - Professor John Overington

FI2NI: Pitfalls and Gotcha’s with bioactivity data - Professor John Overington

FI2NI: Love notes to the future: the importance of metadata - Ms Isobel Stark

FI2NI: Love notes to the future: the importance of metadata - Ms Isobel Stark

AI3SD Summer Seminar Series 14 - AI for Science: Transforming Scientific Research - Dr Tony Hey

AI3SD Summer Seminar Series 14 - AI for Science: Transforming Scientific Research - Dr Tony Hey

AI3SD Summer Seminar Series 13: Supramolecular Antimicrobials for AI/ML - Dr Jennifer Hiscock

AI3SD Summer Seminar Series 13: Supramolecular Antimicrobials for AI/ML - Dr Jennifer Hiscock

AI3SD Summer Seminar Series 12: Neural–Network–Inspired Changes in General Purpose Chips

AI3SD Summer Seminar Series 12: Neural–Network–Inspired Changes in General Purpose Chips

AI3SD Summer Seminar Series 10: ML 4 Early Stage Drug Discovery - Professor Charlotte Deane

AI3SD Summer Seminar Series 10: ML 4 Early Stage Drug Discovery - Professor Charlotte Deane

AI3SD Summer Seminar Series 9: The Bluffers Guide to Symbolic AI - Dr Louise Dennis

AI3SD Summer Seminar Series 9: The Bluffers Guide to Symbolic AI - Dr Louise Dennis

AI3SD Summer Seminar Series 8: Smart Cleaning & COVID-19 - Dr Nicholas Watson

AI3SD Summer Seminar Series 8: Smart Cleaning & COVID-19 - Dr Nicholas Watson

AI3SD Summer Seminar Series 7: AI’s new clothes? Dr Simone Vannuccini & Ms Ekaterina Prytkova

AI3SD Summer Seminar Series 7: AI’s new clothes? Dr Simone Vannuccini & Ms Ekaterina Prytkova

AI3SD Summer Seminar Series 5: Multidimensional data for ML in Chemistry - Dr Ella M Gale

AI3SD Summer Seminar Series 5: Multidimensional data for ML in Chemistry - Dr Ella M Gale

AI3SD Summer Seminar Series 4: Neural Networks and Explanatory Opacity - Dr Will McNeill

AI3SD Summer Seminar Series 4: Neural Networks and Explanatory Opacity - Dr Will McNeill

AI3SD Summer Seminar Series 3: Design Fiction & AI - Dr Naomi Jacobs

AI3SD Summer Seminar Series 3: Design Fiction & AI - Dr Naomi Jacobs

AI3SD Summer Seminar Series 2: InChI: Measuring the Molecules - Professor Jonathan Goodman

AI3SD Summer Seminar Series 2: InChI: Measuring the Molecules - Professor Jonathan Goodman

AI3SD Summer Seminar Series 1 - Drug Repositioning for COVID-19 - Professor John Overington

AI3SD Summer Seminar Series 1 - Drug Repositioning for COVID-19 - Professor John Overington