I'm really excited to announce that our brand new MRes in Advanced Artificial Intelligence is now available on the @SussexUni website https://t.co/XnrUkZhN6k! This course offers research focused training in how to be an effective and responsible AI scientist or engineer.
3/3 Their 'muPC' algorithm provides a local, biologically plausible, and highly scalable equivalent to backprop. A deserved winner of this year's @SussexNeuro prize 👏 Paper here -> https://t.co/HYUNfpW25D
We’re extending the submission deadline for the International Workshop on Biomedical Image Registration, to the 27th June at 23:59 AOE! @wbir_info@AlessaHering
We're hosting the 11th International Workshop on Biomedical Image Registration (WBIR) in association with Learn2Reg as a MICCAI satellite workshop in Marrakesh on Sunday 6th October!
Please submit your works on developments and applications of image registration!
Accepted papers will be published in LNCS. Deadline for submissions is 24th June, so there's no time to waste! See our website for more details: https://t.co/ocxzvqcGnc
@wbir_info@AlessaHering
We're hosting the 11th International Workshop on Biomedical Image Registration (WBIR) in association with Learn2Reg as a MICCAI satellite workshop in Marrakesh on Sunday 6th October!
Please submit your works on developments and applications of image registration!
Proud to announce that Aisha Lawal Shuaibu (one of my PhD supervisees) has had her first paper published in @MELBAJournal! The title is HyperPredict: Estimating Hyperparameter Effects for Instance-Specific Regularization in Deformable Image Registration https://t.co/leCoMlBA5u
This enables flexible task-specific registration without ad-hoc hyperparameter tuning.
So far we've looked at brain MRI registration using cLapIRN and NiftyReg, but we're looking to extend to more modalities and different scenarios so get in touch if you want to collaborate.
I'm really excited to announce that our brand new MRes in Advanced Artificial Intelligence is now available on the @SussexUni website https://t.co/XnrUkZhN6k! This course offers research focused training in how to be an effective and responsible AI scientist or engineer.
@SussexUni with a substantial research project and unique new modules covering advanced technical concepts, applications and implications of AI, as well as core research and scientific communication skills.
@SimonPrinceAI Great list.
I read MacKay's book at the beginning of my PhD and it had a massive influence on how I think about all problems in learning and inference.
I'm confident your book will have a similar effect on this generation of students!
@zlostcause@SussexUni@SussexAI take a look at the advert details and then drop me (or whoever the relevant supervisor might be) an email with some ideas on what you might want to work on
3 new studentships to join us for a #phd in #AI@SussexUni within @SussexAI.
If you're interested in developing new methods for probabilistic/generative machine learning for medical imaging, computer vision or ecological monitoring, get in touch with me!
We have three fully-funded (internationals included) PhD studentships available within Sussex AI, starting in September 2024! This is a great opportunity for doctoral research in our interdisciplinary Centre of Excellence in AI.
See details at https://t.co/GASfmAeeKc
Next Tuesday I'll be talking at @braincoustics about our research at Sussex (in collaboration with @alicealicealice @IvorSimpson4 @Nature_Based) applying deep probabilistic models for interpreting ecoacoustic inference
(The 2nd) Workshop on Uncertainty Quantification for Computer Vision @ICCVConference morning session running in Paris: https://t.co/Jbmq2RjNT5 #ICCV2023