03/02/2021 – AI3SD Winter Seminar Series: Graphs, Networks & Molecules
This seminar was the fifth of ten in our AI3SD Winter Seminar Series. This seminar was hosted online via a zoom webinar. The event was themed around Graphs, Networks Molecules,…
03/02/2021 – AI3SD Winter Seminar Series: Graphs, Networks & Molecules
This seminar forms part of the AI3SD Online Seminar Series that will run across the winter (from November 2020 to April 2021). This seminar will be run via zoom, when you register on Eventbrite you will receive a zoom registration email alongside your standard Eventbrite registration email. Where speakers have given permission to be recorded, their talks will be made available on our AI3SD YouTube Channel. The theme for this seminar is Graphs, Networks & Molecules.
20/01/2021 – AI3SD Winter Seminar Series: ML 4 Scientific Discovery
This seminar forms part of the AI3SD Online Seminar Series that will run across the winter (from November 2020 to April 2021). This seminar will be run via zoom, when you register on Eventbrite you will receive a zoom registration email alongside your standard Eventbrite registration email. Where speakers have given permission to be recorded, their talks will be made available on our AI3SD YouTube Channel. The theme for this seminar is ML 4 Scientific Discovery.
20/01/2021 – AI3SD Winter Seminar Series: ML 4 Scientific Discovery
This seminar was the fourth of ten in our AI3SD Winter Seminar Series. This seminar was hosted online via a zoom webinar. The event was themed around ML for Scientific…
08/01/2021 – Network Publication!
We are delighted to share our perspectives publication with you, explaining the philosophical, scientific, and technical underpinnings of the Network and detailing its inception and the first year of activity.…
16/12/2020 – AI3SD Winter Seminar Series: Enhancing Experiments through Machine Learning
This seminar was the third of ten in our AI3SD Winter Seminar Series. This seminar was hosted online via a zoom webinar. The event was themed around Enhancing Experiments through…
16/12/2020 – AI3SD Winter Seminar Series: Enhancing Experiments through Machine Learning
This seminar forms part of the AI3SD Online Seminar Series that will run across the winter (from November 2020 to April 2021). This seminar will be run via zoom, when you register on Eventbrite you will receive a zoom registration email alongside your standard Eventbrite registration email. Where speakers have given permission to be recorded, their talks will be made available on our AI3SD YouTube Channel. The theme for this seminar is Enhancing Experiments through Machine Learning.
02/12/2020 – AI3SD Winter Seminar Series: Robots, AI and NLP in Drug Discovery
This seminar was the second of ten in our AI3SD Winter Seminar Series. This seminar was hosted online via a zoom webinar. The event was themed around Enhancing Experiments through…
02/12/2020 – AI3SD Winter Seminar Series: Robots, AI and NLP in Drug Discovery
This seminar forms part of the AI3SD Online Seminar Series that will run across the winter (from November 2020 to April 2021). This seminar will be run via zoom, when you register on Eventbrite you will receive a zoom registration email alongside your standard Eventbrite registration email. Where speakers have given permission to be recorded, their talks will be made available on our AI3SD YouTube Channel. The theme for this seminar is Robots, AI and NLP in Drug Discovery.
23/09/2020 – AI3SD Online Seminar Series: AI for Science: Transforming Scientific Research – Professor Tony Hey
There is now broad recognition within the scientific community that the ongoing deluge of scientific data is fundamentally transforming academic research. Turing Award winner Jim Gray referred to this revolution as “The Fourth Paradigm: Data Intensive Scientific Discovery’. Researchers now need tools and technologies to manipulate, analyze, visualize, and manage vast amounts of research data. This talk will begin by reviewing the challenges posed by the explosive growth of experimental and observational data generated by large-scale facilities such as the Diamond Synchrotron and the CryoEM Facilities at the Rutherford Appleton Laboratory. Increasingly, scientists are beginning to use sophisticated machine learning and other AI technologies both to automate parts of the data pipeline and also to find new scientific discoveries in the deluge of experimental data. In particular, ‘Deep Learning’ neural networks have already transformed several areas of computer science and research scientists are now exploring their use in analyzing their ‘Big Scientific Data’. The talk concludes with a vision of how this ‘AI for Science’ agenda can be truly transformative for experimental scientific discovery.