Researchers/engineers from our #AI Engineering Group & CTO Office co-authored 5 papers at @emnlpmeeting this week; learn more about their research, why the results are notable, and how their work will advance the state-of-the-art in #NLProc https://t.co/Fee6rmKiQm
#EMNLP2022
We are recruiting! We have an exciting opportunity for a Scientist to join our AI Research team at Canon Medical. For more information on the role and to apply, please go to: https://t.co/hPdHTgft55 We would love to hear from you. #hiring#recruitment#AIScientist#Edinburgh
We have two new vacancies available - Natural Language Processing/Machine Learning Scientist and a Bioinformatics/Machine Learning Scientist in our AI team. Please get in touch today to apply: https://t.co/Iy1DwMpU9m #scientist#machinelearning#hiring
Interested in integrating non-imaging information for medical image analysis (and beyond)? Our work w/ @alisonQoneil, Brian and @STsaftaris will be presented at #MICCAI2020 on 6 Oct (Tuesday) at 4:30pm UCT. Reserve your spot: https://t.co/gBejjr14aE
Read https://t.co/rGpahWGEB9
Following today's announcement, we're greatly looking forward to collaborating on this bold attempt to create new, more effective #PrecisionMedicine techniques for bowel cancer screening.
The INCISE project has been formally announced! Delighted to be part of it! First rate collaboration between academics and business...
We will bring better data and AI into colonoscopy and bowel cancer screening.
https://t.co/1dEY0IWos8
Fantastic job for a data scientist in Glasgow's Institute for Cancer Sciences, generating a better understanding of when colonoscopy is needed.
Apply now! Deadline 4th June.
Or drop me a line if you're interested...
A memorable moment from this morning's AI4AH session at @iclr_conf (thanks @magic_mp for the shot) - this is up there with the unhelpful "die amazing" captioning of "diagnosing". Other than that, very smooth running! Thanks to SlidesLive for their amazing work. #ai4ah#ICLR2020
Best Paper Prize at our AI for Affordable Healthcare workshop at @iclr_conf goes to "XGMix: Local-Ancestry Inference with Stacked XGBoost" - a method to diversify genetic research beyond European ancestry: https://t.co/XH23sLjuVW #AI4AH#ICLR2020@CanonMedicalEDI@bioandemerging
Honoured to announce that Dr. Ed Choi, Dr. Timnit Gebru and Prof. Sotos Tsaftaris will speak at the #ICLR2020 workshop on AI for Affordable Healthcare. We welcome contributed research and white papers. Submit by January 24th! @bioandemerging@iclr_conf
https://t.co/Lk3e4fTC65
Looking forward to your submissions for our #ICLR2020 workshop on AI for Affordable Healthcare! Research and white papers both invited: deadline 24th January #AI4AH@bioandemerging@iclr_conf https://t.co/DoLSecsZpF
Canon EngD student @pschrempf presents our research on transfer of AI NLP models between languages for flu symptom detection from tweets! (target language Japanese) https://t.co/AdJAe8W3WV #NeurIPS2019#AI#HADR
The research on Hanabi just got a lot more exciting - today we are adding search to the mix, vastly improving upon the previous SOTA 🎆🎇🤖
We are open-sourcing all code, incl. a new RL method and trained agents.
A cooperative effort with @adamlerer, Hengyuan Hu, @polynoamial